DETECTION AND TELEMETRY BY ELECTROMAGNETIC RADIATION PULSES
20230221445 · 2023-07-13
Inventors
Cpc classification
G01S17/58
PHYSICS
G01S7/4917
PHYSICS
Y02A90/10
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
G01S17/34
PHYSICS
International classification
G01S17/58
PHYSICS
G01S7/4865
PHYSICS
Abstract
A process and system for detection and telemetry using electromagnetic radiation pulses allows characterization of a radial velocity distribution as a function of a separation distance within an exploration zone. An impulse response from the system is used for decomposing a measurement signal which is collected for each acquisition sequence performed for a useful measurement. The result of the decomposition includes an estimate of the radial velocity distribution as a function of the separation distance.
Claims
1. A detection and telemetry process using electromagnetic radiation pulses, in order to characterize a radial velocity distribution as a function of a separation distance within an exploration zone, comprising the following steps: 1) getting a system for detection and telemetry by using electromagnetic radiation pulses, that is adapted for, during an acquisition sequence, emitting at least one electromagnetic radiation pulse, detecting a portion of said at least one radiation pulse which was backscattered by at least one target present in the exploration zone, and producing a measurement signal which corresponds to the backscattered and detected radiation pulse portion, where said measurement signal contains information on a separation distance and a radial velocity of each target, the information on the radial velocity of each target corresponds to a frequency shift due to a Doppler effect which occurs when the radiation is backscattered by this target; and 2) performing an acquisition sequence by controlling the system for emitting the at least one pulse into the exploration, wherein the process further comprises the following additional steps: 3) getting a characterization of an impulse response of the system, where the impulse response corresponds to the measurement signal which is produced by said system during an acquisition sequence and when a single backscattering element is in the exploration zone, said single backscattering element corresponding to a single separation distance value and having a known radial velocity value relative to the system, and when the exploration zone has no backscattering element other than the so-called single backscattering element; and 4) by treating the measurement signal which was produced in step 2) as a sum of contributions which each correspond to the impulse response applied to a value for the separation distance and to a value for the radial velocity, and multiplied by a backscattering amplitude value, getting by decomposition of the measurement signal into several contributions, a measurement result in a form of pairs which are each comprised of a backscattering amplitude value and a radial velocity value, and which are assigned respectively to several separation distance values within the exploration zone.
2. The process according to claim 1, wherein the impulse response is a function of both the separation distance, or round-trip time of the radiation from an optical outlet of the system, and also of one among: a spectral component frequency of the radiation pulse portion which was backscattered and then detected by the system; a frequency shift between a spectral component of the radiation pulse portion which was backscattered and then detected by the system, and the radiation of each pulse as emitted by said system, or a radial velocity value associated with said frequency shift by the Doppler effect; and a frequency of a spectrum of the measurement signal which is used in step 3).
3. The process according to claim 1, wherein the characterization of the impulse response is obtained in step 3) by performing at least one acquisition sequence with the detection and telemetry system by using electromagnetic radiation pulses, and with a single backscattering element which is positioned at a determined separation distance in the exploration zone, or by performing a numerical simulation of operation of the system when a single backscattering element is present at a determined separation distance in the exploration zone.
4. The process according to claim 1, wherein the detection and telemetry system by using electromagnetic radiation pulses is adapted for implementing a heterodyne detection mode, and the measurement signal which is produced at each acquisition sequence and which is used in step 4), is a heterodyne measurement signal.
5. The process according to claim 1, wherein the detection and telemetry system by using electromagnetic radiation pulses is of LIDAR type and the radiation of each pulse emitted by said system is a laser radiation, or the detection and telemetry system by using electromagnetic radiation pulses is of RADAR type and the radiation of each pulse emitted by said system has a vacuum wavelength comprised between 1 mm and 7.5 mm.
6. The process according to claim 5, wherein the detection and telemetry system by using electromagnetic radiation pulses is of LIDAR type, and wherein each radiation pulse has at least one of the following features: a radiation wavelength inside the pulse is comprised between 250 nm and 10 μm; a duration of the pulse is comprised between 50 ns and 1 μs; and the pulse has a frequency width at half-maximum which is less than 1 GHz.
7. The process according to claim 1, wherein the measurement result is deduced from the measurement signal in step 4) by applying a two-dimensional decomposition algorithm which uses a method selected in the list comprising a a-posteriori maximum method, a maximum likelihood method, and a stochastic method.
8. The process according to claim 7, further comprising an additional step which is executed from the measurement result provided by the two-dimensional decomposition algorithm, in order to reduce widths of radial velocity distributions which are separately assigned to several values of the separation distance in the exploration zone.
9. The process according to claim 1, wherein step 4) includes assigning a single radial velocity value and a single backscattered amplitude value to each value of the separation distance, for a sampling of values of the separation distance inside the exploration zone, and then calculating a reconstruction of the measurement signal as a sum of contributions each equal to the impulse response applied to a separation distance value and to the radial velocity value which was assigned to said separation distance value, and multiplied by the backscattered amplitude value which was also assigned to the same separation distance value, for all the separation distance values in the sampling, and then performing a series of iterative adjustments of the assigned radial velocity and backscattered amplitude values, so as to reduce a deviation between the measurement signal which was produced in step 2) and the reconstruction of the measurement signal resulting from the values assigned to the radial velocity and backscattered amplitude, wherein the measurement result is then formed by the radial velocity and backscattered amplitude values assigned to the separation distance values, which provide a minimum deviation between the measurement signal and the reconstruction of the measurement signal.
10. The process according to claim 1, used for at least one of the following applications: meteorological measurements; measurements of diffusion of atmospheric pollutants; measurements of local concentration of backscattering particles suspended in an environment, or of chemical compounds which absorb and re-emit the radiation of the pulses; measurements of shearing of an atmospheric flow; measurements of position and/or lifetime of at least one vortex which is present in a fluid flow; anemometric measurements which are performed from an aircraft in flight; anemometric measurements which are performed to optimize operation of a wind turbine; and anemometrical measurements which are performed for adjusting aircraft flight in formation, or for adjusting a drone flight.
11. A detection and telemetry system by using electromagnetic radiation pulses comprising: an emission path, suited for emitting at least one electromagnetic radiation pulse into an exploration zone when an acquisition sequence is performed; a detection path, suited for detecting, during the acquisition sequence, a portion of said at least one emitted radiation pulse, after that portion of radiation pulse was backscattered by at least one target present in the exploration zone, where said detection path is further suited for producing a measurement signal which contains information about a separation distance and radial velocity of each target present in the exploration zone, the information about the radial velocity of each target corresponding to a frequency shift due to a Doppler effect which occurs when the radiation is backscattered by said target; and a controller, which is arranged for activating the emission path and detection path according to the acquisition sequence, wherein the system further comprises: storage means for a characterization of an impulse response of the system, where said impulse response corresponds to the measurement signal which is produced by said system during an acquisition sequence when a single backscattering element is in the exploration zone, said single backscattering element corresponding to a single separation distance value and having a radial velocity value relative to the system, and when the exploration zone has no backscattering element other than the so-called single backscattering element; and calculation means suited for decomposing the measurement signal as a sum of contributions which each correspond to the impulse response applied to a value for the separation distance and for a value of the radial velocity, and multiplied by a backscattering amplitude value, so as to output a measurement result in a form of pairs which are each comprised of a backscattering amplitude value and a radial velocity value, and which are assigned respectively to several separation distance values within the exploration zone.
12. A detection and telemetry system by using electromagnetic radiation pulses comprising: an emission path, suited for emitting at least one electromagnetic radiation pulse into an exploration zone when an acquisition sequence is performed; a detection path, suited for detecting, during the acquisition sequence, a portion of said at least one emitted radiation pulse, after that portion of radiation pulse was backscattered by at least one target present in the exploration zone, where said detection path is further suited for producing a measurement signal which contains information about a separation distance and radial velocity of each target present in the exploration zone, the information about the radial velocity of each target corresponding to a frequency shift due to a Doppler effect which occurs when the radiation is backscattered by said target; and a controller, which is arranged for activating the emission path and detection path according to the acquisition sequence, wherein the system further comprises: storage means for a characterization of an impulse response of the system, where said impulse response corresponds to the measurement signal which is produced by said system during an acquisition sequence when a single backscattering element is in the exploration zone, said single backscattering element corresponding to a single separation distance value and having a radial velocity value relative to the system, and when the exploration zone has no backscattering element other than the so-called single backscattering element; and calculation means suited for decomposing the measurement signal as a sum of contributions which each correspond to the impulse response applied to a value for the separation distance and for a value of the radial velocity, and multiplied by a backscattering amplitude value, so as to output a measurement result in a form of pairs which are each comprised of a backscattering amplitude value and a radial velocity value, and which are assigned respectively to several separation distance values within the exploration zone, wherein the system is configured to perform a process which conforms to claim 1.
13. The process according to claim 2, wherein the characterization of the impulse response is obtained in step 3) by performing at least one acquisition sequence with the detection and telemetry system by using electromagnetic radiation pulses, and with a single backscattering element which is positioned at a determined separation distance in the exploration zone, or by performing a numerical simulation of operation of the system when a single backscattering element is present at a determined separation distance in the exploration zone.
14. The process according to claim 2, wherein the detection and telemetry system by using electromagnetic radiation pulses is adapted for implementing a heterodyne detection mode, and the measurement signal which is produced at each acquisition sequence and which is used in step 4), is a heterodyne measurement signal.
15. The process according to claim 3, wherein the detection and telemetry system by using electromagnetic radiation pulses is adapted for implementing a heterodyne detection mode, and the measurement signal which is produced at each acquisition sequence and which is used in step 4), is a heterodyne measurement signal.
16. The process according to claim 2, wherein the detection and telemetry system by using electromagnetic radiation pulses is of LIDAR type and the radiation of each pulse emitted by said system is a laser radiation, or the detection and telemetry system by using electromagnetic radiation pulses is of RADAR type and the radiation of each pulse emitted by said system has a vacuum wavelength comprised between 1 mm and 7.5 mm.
17. The process according to claim 3, wherein the detection and telemetry system by using electromagnetic radiation pulses is of LIDAR type and the radiation of each pulse emitted by said system is a laser radiation, or the detection and telemetry system by using electromagnetic radiation pulses is of RADAR type and the radiation of each pulse emitted by said system has a vacuum wavelength comprised between 1 mm and 7.5 mm.
18. The process according to claim 4, wherein the detection and telemetry system by using electromagnetic radiation pulses is of LIDAR type and the radiation of each pulse emitted by said system is a laser radiation, or the detection and telemetry system by using electromagnetic radiation pulses is of RADAR type and the radiation of each pulse emitted by said system has a vacuum wavelength comprised between 1 mm and 7.5 mm.
19. The process according to claim 2, wherein the measurement result is deduced from the measurement signal in step 4) by applying a two-dimensional decomposition algorithm which uses a method selected in the list comprising a a-posteriori maximum method, a maximum likelihood method, and a stochastic method.
20. The process according to claim 3, wherein the measurement result is deduced from the measurement signal in step 4) by applying a two-dimensional decomposition algorithm which uses a method selected in the list comprising a a-posteriori maximum method, a maximum likelihood method, and a stochastic method.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0049] The features and advantages of the present invention will appear more clearly in the following detailed description of non-limiting implementation examples given with reference to the attached drawings in which:
[0050]
[0051]
[0052]
[0053]
DETAILED DESCRIPTION OF THE INVENTION
[0054] For clarity sake of the following description, components which are not directly involved in the invention, or which can be adapted spontaneously by the person skilled in the art for implementing the invention, are not shown or described.
[0055] The invention is now described, as an example, for a LIDAR pulse system with heterodyne detection. However, the invention may be easily transposed, based on the following description, to other detection modes than heterodyne detection, and/or to a RADAR system. In general, the invention relates to the conversion of a measurement signal into a measurement result which comprises a radial velocity distribution as a function of a separation distance. Equivalently, each radial velocity value may be replaced in this characterization by a frequency shift value which is produced by Doppler effect, by a target which has the radial velocity value. The formula, known to the person skilled in the art, which expresses this equivalence, is Δf=−2.Math.v.sub.r/λ, where Δf is the frequency shift, v.sub.r is the radial velocity of the target and λ is the wavelength of the radiation. Similarly, each separation distance value may be replaced by a duration between the time of emission of the radiation and the subsequent time of detection at which a backscattered portion of this radiation is detected, by means of the formula d.sub.e=C.Math.(t.sub.d−t.sub.0)/2, where t.sub.d is the detection time and to is the emission time, d.sub.e is the separation distance. Further, as an example, the LIDAR system which is described below is suited for performing anemometric measurements, by using laser radiation backscattering which is produced by particles present suspended in the air. These backscattering particles, which form targets to be characterized and which may be aerosol droplets, dusts or ice grains, are designated by reference number 100 in
[0056] In accordance with
[0057] When the LIDAR system 10 is of monostatic type, the emission path 10E and the detection path 10D may be coupled by an optical circulator 4 to an optical port 5, where this port serves both as optical output port for the emission path 10D and optical receiving port for the detection path 10D. To this end, the emission path 10E is optically coupled to an optical input port 41 of the optical circulator 4, the detection path 10D is optically coupled to an optical output port 42 of the optical circulator 4, and the optical port 5 of the LIDAR system 10 is optically coupled to a mixed input-output optical port 43 of the optical circulator 4.
[0058] Such a LIDAR system 10 is known to the person skilled in the art. Using it, the content of an exploration zone ZE which is located on the path of the laser pulses in front of the optical port 5 outside the system 10 can be analyzed. As is known, this exploration zone ZE is an overlap volume between a propagation track of the laser pulses beyond the optical port 5, and a medium to be characterized which is located outside of the system 10. A distance d.sub.m which separates a proximal limit of the exploration zone ZE from the optical port 5 may be defined by a time detection window which is applied by the detection path 10D, in particular by the acquisition card 8. A length l.sub.e of the exploration zone ZE is also determined by the time detection window. Alternatively, the exploration zone ZE may be determined by a convergence which is applied to the laser pulses, for example by using a converging lens to form the optical port 5. Also, each laser pulse has a pulse duration which is denoted τ in the remainder. Under these conditions, the measurement signal SM contains a characterization of the targets 100 which are contained in the exploration zone ZE, in terms of separation distance of each target relative to the optical port 5, denoted d.sub.e, and radial velocity of each target, denoted v.sub.r. In the remainder, the separation distance d.sub.e is counted from the proximal limit of the exploration zone ZE. Further, radial velocity of one of the targets 100 is understood to mean the velocity component thereof which is parallel to the direction of propagation of the laser pulses. It is positive for a movement of the target away from the system 10, and negative when the target moves toward the system 10. When the content of the exploration zone ZE is a portion of atmosphere, the targets 100 are comprised of aerosol droplets, dust and/or ice grains which are suspended in the air and which are driven in movement by air currents such as may exist in the exploration zone ZE. The radial velocity distribution v.sub.r of these air currents can be characterized as a function of the separation distance d.sub.e within the exploration zone ZE from a measurement performed using the LIDAR system 10. Such an application of the LIDAR system 10 for anemometric measurements is also known to the person skilled in the art. A radiation pulse, which is designated by the reference P, is shown symbolically in
[0059] The invention that is the subject of the present description relates to the transformation of the measurement signal SM, which is delivered by the acquisition card 8, into a measurement result RM relating to the radial velocity distribution v.sub.r in the exploration zone ZE. This transformation may be performed by a calculation unit 11, labeled CPU. Generally, the measurement result RM is comprised of a backscattering amplitude distribution, which is a function of both the separation distance d.sub.e and the radial velocity v.sub.r, or equivalently a function of the separation distance d.sub.e and the Doppler effect frequency shift Δf. This backscattering amplitude distribution of the measurement result RM is denoted S(d.sub.e,v.sub.r), or S(d.sub.e,Δf). It constitutes an estimate of an actual backscattering amplitude distribution S.sub.0(d.sub.e,v.sub.r), or S.sub.0(d.sub.e,Δf), which is produced by the targets 100 in the exploration zone ZE. Reference 12 designates storage means, labeled STOR, which are accessible to the calculation unit 11. The structure of the storage means 12 may be advantageously selected for facilitating convolution calculations which use the values stored in these means 12.
[0060]
[0061]
[0066] The impulse response may be obtained from the measurement signal SM, by restricting this signal within time windows which are progressively offset in time, and by applying an apodization function, for example Gaussian shaped, to each restriction of the measurement signal SM in the corresponding time window. As is known, the goal of an apodization function is to eliminate or attenuate discontinuities which exist in the analyzed signal in order to eliminate or reduce artifacts which could be caused by these discontinuities. In the present case, the ends of the time windows could cause secondary lobes in subsequent Fourier transform results. The apodization function eliminates such lobes. Each portion of the measurement signal SM restricted to a time window, and apodised, is then processed by time-Fourier transform, and then the result of this Fourier transform is squared in order to provide a section of the representation of the impulse response of
[0067] The impulse response of the system 10 may be obtained experimentally, for example by actually placing a retroreflecting mirror at an identified location in the exploration zone ZE, and by providing this retroreflecting mirror with a radial velocity of motion which is also identified. Preferably, the retroreflecting mirror may be immobile relative to the system 10 for such an experimental determination of the impulse response. An acquisition sequence is then executed by the system 10, during which the calculation unit 11 applies operations of division and transformation that were just described to the measurement signal SM as outputted by the acquisition card 8.
[0068] Alternatively, the impulse response may be obtained by a numerical simulation of the operation of the system 10 during an acquisition sequence, by simulating the effect on the emitted radiation pulses of the retroreflecting mirror which is placed in the exploration zone ZE.
[0069] Generally, getting the impulse response constitutes a calibration of the system 10 for subsequently using this system 10 to perform useful measurements. The impulse response which was determined for the system 10 is stored in the storage means 12.
[0070] In the diagram of
[0071] When an acquisition sequence, said to be useful, is performed with the system 10 on an atmospheric portion containing the exploration zone ZE, the measurement signal SM which is then outputted by the acquisition card 8 is considered as an incoherent sum of laser pulse parts which are backscattered by targets distributed in the exploration zone ZE at various values of the separation distance d.sub.e. These targets are associated with backscattering amplitude and radial velocity values for each of the separation distance values, between 0 and l.sub.e. The calculation unit 11 then applies to the measurement signal SM as outputted by the acquisition card 8 substantially the same processing as what was described above to get the impulse response experimentally. This processing comprises the following steps: [0072] restricting the measurement signal SM to the time windows which are progressively shifted in time; [0073] applying an apodization function to the portion of the measurement signal SM which is contained in each time window; [0074] applying a time-Fourier transform to the apodised portion of the measurement signal SM which is contained in each time window; [0075] calculating, for each time window and for each frequency value f, the square of the result of the Fourier transform, so as to get a spectrum for this time window.
[0076] The set of spectra then forms a useful acquisition sequence spectrogram which characterizes the content of the exploration zone ZE. Within this useful acquisition sequence spectrogram, each spectrum is assigned to the value of the separation distance d.sub.e which corresponds to the flight time between the emission time of the pulse and the mid-time of the time window which was applied to the measurement signal SM for this spectrum. The spectrogram is written Sp(d.sub.e,Δf) by taking a reference frequency in order to define the frequency shift Δf between each spectral component and this reference frequency. In the case of heterodyne detection, this reference frequency is the frequency of the monochromatic radiation produced by the laser source 1. Then, without considering possible measurement noise, the spectrogram Sp(d.sub.e,Δf) may be modeled by [S.sub.0*h](d.sub.e,Δf) where S.sub.0(d.sub.e,Δf) is again the amplitude distribution of backscattering of the content of the exploration zone ZE during the useful acquisition sequence, and * designates the two-dimensional convolution operation.
[0077] The calculation unit 11 then determines an estimate of the backscattering amplitude distribution S.sub.0(d.sub.e,Δf) from the spectrogram Sp(d.sub.e,Δf). This estimate of the backscattering amplitude distribution S.sub.0(d.sub.e,Δf) may constitute the measurement result RM and is denoted S(d.sub.e,Δf). To do that, several algorithms may be used alternatively, including the two following ones which are given as non-limiting examples.
[0078] A two-dimensional decomposition algorithm. Such algorithm is applied to the spectrogram Sp(d.sub.e,Δf) by using the impulse response h(Δd.sub.e,Δf). It is commonly called two-dimensional decomposition algorithm and may use a maximum likelihood method, which consists in minimizing a data attachment criterion, also called cost function, such as for example a least-squares criterion which measures the deviation between the spectrogram Sp(d.sub.e,Δf) and the modeling of this spectrogram in the form [S*h](d.sub.e,Δf). A second possible method, called a-posteriori maximum method, consists in adding to the data attachment criterion, a regularizing criterion, also called penalization criterion, which contains information from prior knowledge of certain features of the content of the exploration zone ZE. Such information may for example be that each spectrum has a very small spectral width. An example of a reference work on such a a-posteriori maximum method is “Bayesian Approach to Inverse Problems,” edited by J. Idier, ISTE/John Wiley, London, 2008, pp. 243-283. A third method, that is also possible, may be a stochastic method, also called Monte Carlo method, where the solution is sought by exploration of a set of states which are possible for the content of the exploration zone ZE, as a function of at least one random characteristic. Such a Monte Carlo method is further called with Markov chains when each new draw of the random characteristic depends only on the results of the current draw, without depending on results of earlier draws. An example of a reference work on these stochastic methods is “Monte Carlo Statistical Methods,” by Christian Robert and George Casella, Springer-Verlag, Springer Texts in Statistics series, 2010. Generally, the two-dimensional decomposition methods are sufficiently known to the person skilled in the art so that it is not necessary to describe them further here. The result of a two-dimensional decomposition is the estimate S(d.sub.e,Δf) of the backscattering amplitude distribution, which depends on both parameters of separation distance and frequency shift. This estimate S(d.sub.e,Δf), such as resulting from the application of the two-dimensional decomposition algorithm, may be improved by an additional step which consists for each value of the separation distance d.sub.e, in reducing the width of the radial velocity distribution v.sub.r, or of the associated Doppler frequency shift Δf. A maximum reduction may in particular be obtained by keeping, for each value of the separation distance d.sub.e, only the value of the frequency shift Δf—or else the value of the radial velocity v.sub.r—corresponding to the maximum of the estimation distribution S(d.sub.e,Δf) such as resulting from the two-dimensional decomposition algorithm. Another maximum reduction method that is also possible consists for each separation distance value d.sub.e, in only keeping the frequency shift Δf corresponding to the center of the peak of the estimation distribution S(d.sub.e,Δf), as a function of the frequency shift Δf and separately for each value with the separation distance d.sub.e. The center of the peak may be determined for example from a section at half-maximum of the peak or by fitting the peak with a model thereof.
[0079]
[0080] The horizontal and vertical axes of the diagrams of
[0081]
[0082]
[0083] An algorithm for decomposition by sparse adjustments. Such an algorithm consists of directly searching for the estimate of the backscattering amplitude distribution S.sub.0(d.sub.e,Δf) in the form of a single frequency shift value—or else a single radial velocity value v.sub.r—for each value of the separation distance in the exploration zone ZE. It then proceeds with iterative adjustments of these values Δf(d.sub.e), and of the backscattering amplitude values which are also assigned one-to-one to the separation distance values d.sub.e. At each iteration, a result of the convolution product of the estimation distribution S(d.sub.e,Δf) which is thus built, with the impulse response h(Δd.sub.e,Δf), is compared to the spectrogram Sp(d.sub.e,Δf) of the measurement signal SM. Then the adjustment is applied to the frequency shift and backscattering amplitude values which are assigned to at least one of the separation distance values in a direction which reduces the deviation between [S*h](d.sub.e,Δf) and Sp(d.sub.e,Δf). Such iterations are repeated until a convergence criterion is satisfied. As is known, a threshold criterion may be applied to the deviation between [S*h](d.sub.e,Δf) and Sp(d.sub.e,Δf). Alternatively, another possible criterion relates to a progression between successive iterations in the reduction of the deviation between [S*h](d.sub.e,Δf) and Sp(d.sub.e,Δf). The use of such decomposition algorithm for sparse adjustments allows the measurement result RM to better address variations of the radial velocity as a function of the separation distance which correspond to high spatial frequencies.
[0084] In order to provide a more complete characterization of a three-dimensional atmospheric portion, the system 10 may be mobile, for example with a variable orientation of the laser pulse emission direction, in order to execute a scan in the atmospheric portion. Then acquisition sequences are repeated by adopting a new orientation of the system 10 each time.
[0085] It is understood that the invention may be reproduced by modifying secondary aspects of the embodiments which were described in detail above, while retaining at least some of the advantages indicated above. In particular, all numerical values which were given were only provided for illustration and may be changed according to the application considered. Although the application to a fluid flow characterization was taken as an example, the invention may be used for other applications. Furthermore, the invention may be applied to a pulse radar which operates in the radiofrequency domain, for example with a wavelength which is comprised between 1 mm and 7.5 mm for the radiation of each pulse.