PROCESSING A SIGNAL REPRESENTATIVE OF AT LEAST ONE PHYSICAL PROPERTY OF A PHYSICAL SYSTEM

Abstract

A method of processing a signal representative of at least one physical property of a physical system comprising generating a set of predicted signals, the set of predicted signals comprising at least one member, each member representing a physical state of the physical system, generating a predicted waveform or the signal for each member dependent upon the physical state, and comparing each predicted waveform with the signal to determine the accuracy with which the physical state represented by the member for which the predicted signal was generated matches an actual physical state of the physical system. In an example embodiment, the physical system is a tyre and the state includes the air pressure within the tyre.

Claims

1. A method of processing a signal representative of at least one physical property of a physical system, the method comprising: generating a set of predicted signals, the set of predicted signals comprising at least one member, the member representing a physical state of the physical system, generating a predicted waveform for the signal for the member dependent upon the physical state, and comparing the predicted waveform with the signal to determine the accuracy with which the physical state represented by the member for which the predicted signal was generated matches an actual physical state of the physical system; in which the physical state of the physical system includes a parameter set comprising at least one parameter of the physical state of the physical system and in which the step of generating the set of predicted signals comprises generating a set of members scattered through a parameter space defined by the parameter set; and the method further comprising, after the comparison between predicted and received waveforms, repopulating the set of predicted signals with members in the parameter space so that the members are scattered around the members of the set before repopulating with increasing degree of correlation.

2. The method of claim 1, in which the physical system is such that the signal does not represent received radiation reflected from a target, or where the signal does represent received radiation reflected from a target, the physical state does not represent the state of the target, or at least does not comprise the position, speed, acceleration and/or jerk of the target.

3. The method of claim 1, in which members having a low degree of correlation are removed from the set of predicted signals.

4. The method of claim 1, comprising, after repopulating the set of predicted signals, repeating the step of comparing each predicted waveform, typically to a waveform of a signal received subsequently to that used for the previous step of comparing.

5. The method of claim 4, in which the steps of repopulating and comparing repeat indefinitely.

6. The method of claim 1, in which the step of repopulating the set of predicted signals comprises updating the parameters of each predicted signal based on an elapsed time between the reception of the original received radiation and the reception of the subsequently received reflected radiation.

7. The method of claim 1, in which at least some of the members and their associated degree of correlation are output by the method as potential physical states of the physical system.

8. The method of claim 1, comprising receiving the signal, potentially at one or more receivers.

9. The method of claim 1, comprising driving the physical system with a drive signal.

10. The method of claim 9, in which the drive signal comprises a periodic component having a peak power close to a resonant frequency of the physical system.

11. A method of processing a signal representative of at least one physical property of a physical system, the method comprising: generating a set of predicted signals, the set of predicted signals comprising at least one member, each member representing a physical state of the physical system, generating a predicted waveform for the signal for each member dependent upon the physical state, and comparing each predicted waveform with the signal to determine the accuracy with which the physical state represented by the member for which the predicted signal was generated matches an actual physical state of the physical system; the method comprising driving the physical system with a drive signal comprising a periodic component having a peak power close to a resonant frequency of the physical system.

12. The method of claim 11, in which the drive signal comprises a periodic component, but in which a spectrum of the drive signal varies.

13. The method of claim 11, in which the physical system is an enclosure defining void having an internal fluid pressure, such as a vehicle tyre or a pipe, tube or artery.

14. The method of claim 13, in which the physical system is one of a vehicle tyre, pipe, tube or artery.

15. The method of claim 13, in which the physical state comprises the internal fluid pressure.

16. The method of claim 13, in which the physical system is subject to outside physical inputs, the physical state including a representation of the physical inputs.

17. The method of claim 16, in which the enclosure is a vehicle tyre and the physical state comprises the rotational speed of the vehicle tyre, and optionally also characteristics of the surface over which the vehicle tyre is being driven, such as its vertical profile.

18. The method of claim 16, in which the enclosure is a vehicle tyre and the physical state comprises the rotational speed of the vehicle tyre, and also characteristics of the surface over which the vehicle tyre is being driven.

19. The method of claim 11, in which the step of comparing the predicted waveform with the waveform of the signal comprises determining the correlation between the predicted signal and the waveform of the signal.

20. The method of claim 11, in which the physical state of the physical system includes a parameter set comprising at least one parameter of the physical state of the physical system and in which the step of generating the set of predicted signals comprises generating a set of members scattered through a parameter space defined by the parameter set.

21. The method of claim 20 comprising, after the comparison between predicted and received waveforms, repopulating the set of predicted signals with members in the parameter space so that the members are scattered around the members of the set before repopulating with increasing degree of correlation.

22. A signal processing apparatus, comprising an input for a signal, a processor arranged to process the signal and memory containing program instructions, the program instructions when executed on the processor causing the apparatus to carry out the method of claim 1.

23. A signal processing apparatus, comprising an input for a signal, a processor arranged to process the signal and memory containing program instructions, the program instructions when executed on the processor causing the apparatus to carry out the method of claim 11.

24. The apparatus of claim 22, comprising one or more receivers at the input arranged to receive the signal.

25. The apparatus of claim 22, comprising a transmitter circuit having at least one output for a drive signal.

26. The apparatus of claim 22, provided with an output, at which members and their associated degrees of correlation are output in use.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0030] FIG. 1 shows a tyre pressure monitoring system in accordance with an embodiment of the invention; and

[0031] FIG. 2 shows a flow chart showing the operation of the processor of the apparatus of FIG. 1.

DETAILED DESCRIPTION OF THE INVENTION

[0032] FIG. 1 of the accompanying drawings shows a tyre pressure monitoring system which functions as a signal processing apparatus in accordance with a first embodiment of the invention.

[0033] In this embodiment, a tyre 1 is fitted on a wheel 2. Thus, the tyre defines a void 3 therewithin that is filled with pressurised air. It is desirable to know the air pressure within the void 3 to ensure that the tyre is correctly inflated.

[0034] One way of monitoring the tyre pressure is to place a transducer within the void 3 which measures the pressure and then transmits that outside of the tyre 2. However, this requires an active transducer to be placed in the tyre, which will require regular servicing (e.g. battery replacement) and involves sensitive circuitry being placed within a physically harsh environment.

[0035] In this embodiment, however, there is instead a simple resonant chamber 4. The chamber is formed as a sealed capsule, so as to define its own void 5 therewith. It is formed of slightly compliant material, so that as the pressure in the tyre void 3 varies, the fixed amount of gas within the chamber void 5 will lead to the volume and so linear dimensions of the chamber 3 changing.

[0036] Given that the dimensionsparticularly the lengthof the chamber 5 will give the chamber 4 a characteristic resonant frequency for a given form of radiation (typically corresponding to the chamber length being a half-wavelength), this resonant frequency will change as the length of the chamber 4 changes. Thus, there will be a relationship between the tyre pressure and the resonant frequency. The chamber will re-radiate radiation impinging on it close to its resonant frequency in a frequency-dependent manner (typically, re-radiating at or close to its resonant frequency); conversely, if radiation close to a nominal resonant frequency is applied to the chamber, as the chamber changes size, the radiation re-radiated by it will change in a predictable manner.

[0037] This can be exploited by generating a drive signal close to an expected resonant frequencytypically of the form of microwave electromagnetic radiationusing a waveform generator 6. This is amplified by amplifier 7 and transmitted from antenna 8. A reflected signal is received by antenna 8, amplified and down-mixed using reception circuitry 9 and converted to a digital signal in analogue to digital converter (ADC) 10. The samples thus measured are passed to processor 11.

[0038] The processor carries out the steps shown in FIG. 2 of the accompanying drawings. In step 200, a set of potential physical states is generated. In the order of a thousand to ten thousand candidates can be generated. Each candidate will have a position in a parameter space. The parameter space can have as many dimensions as desired. Typically, the dimensions will include the pressure within the tyre void 3, and potentially will also include the dimensions of the chamber 4, the angular position and speed of the wheel 2 as it rotates, and potentially also bumps in the road over which the tyre 1 is being driven.

[0039] At step 201, for each potential state, a predicted waveform for the radiation as received at each antenna 8, and received, processed and digitised is generated using processor 11. The predicted waveform can also be modified to correct for the performance of the antenna 8 receiver circuits 9, transmission circuitry 6, 7 and ADC 11. For example, if the antenna 8 has directional gain, then the amplitude of the predicted waveform will depend upon the angular position of the wheel 2.

[0040] Each of the parameters will have an effect on the predicted waveform. The most important component for this embodiment is that relating to the re-radiation of the close-to-resonant drive signal from the chamber 4. It may also be possible to detect the Doppler shift in frequency as the wheel 2 rotates the chamber 4 relative to the antenna 8, with the angular position and speed of the wheel 2 being part of the physical state modelled.

[0041] Once each predicted waveform has been generated, at step 202, a comparison is made between each predicted waveform and the output of the ADC. The correlation between each predicted waveform and the output of the ADC is calculated. This indicates how accurately the potential state reflects the actual state, and in particular how accurately the potential state models the pressure in the tyre void 3.

[0042] At step 203, the set of target candidates is repopulated. Typically, those target candidates with a low correlation will be removed. Those with a high correlation will have their parameters updated based upon the time elapsed since the last signal (because, due to the rotation of the wheel 2, the chamber 4 will have moved). Further new target candidates will be added, concentrated around the successful candidates.

[0043] The method then repeats from step 201, with new predicted waveforms being generated and a comparison made to those predicted waveforms with newly-received radiation. Thus, each section of received radiation can be analysed as it is received; typically, prior art spectral analysis methods required 2.sup.n samples, where n was between 10 and 14, whereas the current method can process received data down to individual samples.

[0044] As such, this method can have the following potential advantages over the prior art spectral analysis methods: [0045] No reliance on frequency domain processing so easier to understand based on simple time-series principles. [0046] Can process each return sample as it is captured. No need to capture blocks of data before processing. Reduces latency. [0047] Easier treatment of arbitrary waveform modulation. [0048] Ability to include higher order target motion models (that directly measure acceleration, jerk, higher order derivatives) [0049] Ability to include other target parameters (e.g. width). [0050] Ability to use information about antenna characteristics (e.g. sidelobes with differential gain) directly. [0051] Easy extension to multiple transmit and receive antennas (including arbitrary array patterns). [0052] Easy extension to 3-Dimensional target detection/tracking. [0053] Processing technique is very highly parallelisable. [0054] Easier to embed in low-cost hardware (e.g. FPGA) [0055] Scales easily for more complex systems. [0056] Ability to handle weak target returns due to removal of thresholding (where in spectral systems, the signal would be lost in noise; typically any frequency domain signal that is less strong than a threshold is discarded as noise). [0057] No need to change batteries within the tyrethe chamber 4 can be entirely passive. [0058] Can model dynamic changes in tyre pressure as vehicle passes over bumps etc. [0059] Modelling the angular position and speed of the wheel can result in useful measurements of these quantities being provided.

[0060] Whilst this embodiment has been described with reference to microwave radiation, it is equally applicable to other electromagnetic waves, such as radio waves or visible light, or sound waves or other such systems.

[0061] In accordance with the provisions of the patent statutes, the principle and mode of operation of this invention have been explained and illustrated in its preferred embodiments. However, it must be understood that this invention may be practiced otherwise than as specifically explained and illustrated without departing from its spirit or scope.