METHOD FOR PROVIDING AT LEAST ONE PIECE OF TARGET INFORMATION

Abstract

A method for providing at least one piece of target information relating to at least one object detected by a radar system of a vehicle, the following steps being carried out: providing a piece of detection information of the radar system; and carrying out a processing of the detection information, at least one windowing and at least one frequency analysis of the detection information being carried out for the purpose of providing therefrom the at least one piece of target information, the at least one piece of target information being provided with the aid of different window functions of the windowing, depending on an evaluation criterion, the evaluation criterion being specific to a signal strength of the target information.

Claims

1. A method for providing at least one piece of target information relating to at least one object detected by a radar system of a vehicle, the method comprising: providing a piece of detection information of the radar system; carrying out a processing of the detection information, at least one windowing and performing at least one frequency analysis of the detection information to provide therefrom the at least one piece of target information; providing the at least one piece of target information via different window functions of the windowing depending on an evaluation criterion, the evaluation criterion being specific to a signal strength of the target information.

2. The method according to claim 1, wherein the different window functions of the windowing comprise a window function deviating from a rectangular window function and the rectangular window function.

3. The method according to claim 2, wherein the window function deviating from the rectangular window function is designed to carry out a weakening of the detection information during the windowing according to a predefined weighting.

4. The method according to claim 1, wherein, during the processing, the windowing is carried out for different subareas of the detection information using the different window functions, and wherein for the particular subarea the steps are performed: carrying out a selection of the different window functions depending on a signal strength or subarea of the detection information; and carrying out the windowing of the subarea using the selected window function.

5. The method according to claim 1, wherein, during the processing, the windowing and the frequency analysis of the detection information is carried out for each of the window functions to obtain a piece of frequency information via one of the window functions, and wherein the processing comprises: carrying out the windowing of the detection information with the aid of a first of the different window functions to obtain a first of the pieces of frequency information assigned to the first window function by the frequency analysis of the windowed detection information; carrying out the windowing of the detection information with the aid of a second of the different window functions to obtain a second of the pieces of frequency information assigned to the second window function by the frequency analysis of the windowed detection information; ascertaining the signal strength of the particular piece of target information in at least one of pieces of frequency information; and carrying out a selection of the pieces of target information from the different pieces of frequency information depending on the ascertained signal strength, for the purpose of providing the target information with the aid of the different window functions of the windowing depending on the evaluation criterion.

6. The method according to claim 1, wherein at least one parameter of the at least one object is ascertained by evaluating the provided target information.

7. The method according to claim 6, wherein the at least one parameter comprises a distance of the object relative to the vehicle.

8. The method according to claim 6, wherein the at least one parameter comprises a velocity of the object relative to the vehicle.

9. The method according to claim 1, wherein the detection information is ascertained by: detecting a receive signal in the time range; and carrying out a Fourier transform to ascertain the detection information from the receive signal so that, due to the Fourier transform, the detection information comprises at least one spectrum which is specific to a distance of the at least one object.

10. The method according to claim 1, wherein, during the processing, the at least one frequency analysis is carried out in each case in the form of a Fourier transform for the purpose of ascertaining a piece of frequency information from the detection information so that the frequency information comprises at least one spectrum which is specific to a velocity of the at least one object.

11. The method according to claim 1, wherein the detection information is a two-dimensional matrix, which includes a piece of distance information relating to object in a first dimension and is specific to a relative velocity of the object in a second dimension.

12. The method according to claim 1, wherein a final piece of frequency information is determined as the result of the processing, which is made up of different pieces of frequency information for the purpose of finally providing pieces of target information with the aid of different window functions of the windowing.

13. The method according to claim 12, wherein a selection is carried out for each of the pieces of target information based on the evaluation criterion, with the aid of which the target information is provided in the final frequency information from the different pieces of frequency information.

14. The method according to claim 1, wherein the evaluation criterion comprises a comparison with a predefined threshold value.

15. The method according to claim 1, wherein a selection of the window functions based on the evaluation criterion is carried out in such a way that strong pieces of target information are optimized by the selected window function but weakened to a greater degree, and weak pieces of target information are weakened to a lesser degree by the selected window function and are thus retained.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will become more fully understood from the detailed description given hereinbelow and the accompanying drawings which are given by way of illustration only, and thus, are not limitive of the present invention, and wherein:

[0033] FIGS. 1 and 2 show a schematic representation of a radar system for carrying out a method according to the invention; and

[0034] FIGS. 3 through 7 show schematic representations for visualizing a method according to the invention.

DETAILED DESCRIPTION

[0035] FIG. 1 shows a radar system 2, which may be mounted in a vehicle 1, for monitoring surroundings of vehicle 1. In this way, objects 5 may be detected in the surroundings, such as another vehicle 5. For this purpose, radar system 2 includes a radar sensor 3, which may comprise at least one transceiver antenna (cf. FIG. 2). A processing device 4 may also be provided for carrying out the method according to the invention by a computer program or the like. FIG. 2 illustrates that electromagnetic waves may be emitted by radar system 2, reflected by object 5 and received by radar system 2 as a receive signal 200. This receive signal 200 may be subsequently converted into a piece of digital receive information 202 and processed in processing device 4 for the purpose of ascertaining therefrom at least one piece of target information 235 relating to object 5.

[0036] In principle, a provision of the at least one piece of target information 235 may be made possible according to the method according to the invention with the aid of the following steps. According to a first method step, a provision 101 of a piece of detection information 201 of radar system 2 takes place, for example by a Fourier transform 104′ of receive information 202. According to a second method step, a carrying out of a processing 102 of detection information 201 subsequently takes place, at least one windowing 103 and at least one frequency analysis 104 of detection information 201 being carried out within processing 102. A piece of frequency information 231, 232 may also be determined in each case via frequency analysis 104. The at least one piece of target information 235 may then be provided therefrom.

[0037] FIGS. 2 and 3 illustrate that the at least one piece of target information 235 (which is in the at least one piece of frequency information 231, 232 is provided with the aid of different window functions 211, 212 of windowing 103, depending on an evaluation criterion, the evaluation criterion being able to be specific to a signal strength of target information 235. The different window functions 211, 212 of windowing 103 may comprise a window function 211 deviating from rectangular window function 212 and rectangular window function 212. Window function 211 deviating from rectangular window function 212 may be designed to carry out a weakening of detection information 201 during windowing 103 according to a predefined weighting.

[0038] According to FIG. 3 and FIG. 6, windowing 103 may be carried out during processing 102 for different subareas of detection information 201, using the different window functions 211, 212. FIG. 6 shows that detection information 201 is initially ascertained in that receive information 202 is Fourier-transformed in the direction of first dimension 221 (by further frequency analysis 104′). This first dimension 221 may be specific to the distance of object 5 from vehicle 1. The spectra resulting from further frequency analysis 104′ (carried out along first dimension 221) may be arranged in detection information 201, for example column by column, so that the orientation of dimensions 221, 222 is retained. The particular subareas may then be defined in detection information 201 row by row and thus comprise one or multiple determined rows. As is apparent in FIG. 6, some of the rows have a stronger signal (cf. dashed lined of greater line thickness), while others have a weaker one (cf. dashed lines with lesser line thickness, which thus have only a lower power according to the evaluation criterion). The rows with the weaker signal may be identified and market, and a windowing 103 may be carried out, using a second window function 212 of rectangular window function 212, according to a selection according to the evaluation criterion. For the remaining partial areas, however, window function 211 which differs from a rectangular window function 212 may be used according to this selection. The windowings may take place in connection with frequency analysis 104, so that, for example, the windowed data is Fourier-transformed. The windowings carried out row by row may thus result in spectra which are arranged row by row in frequency information 231 by means of a subsequent frequency analysis 104 along second dimension 222. Second dimension 222 may be used in this way to determine the relative velocity. In the variant shown in FIG. 6, frequency information 231 may be final frequency information 234, i.e. the final range Doppler spectrum, which is used to detect the objects and parameters based on provided target information 235.

[0039] According to FIGS. 1 through 7, detection information 201 may be designed as a two-dimensional matrix, which includes a piece of distance information relating to object 5 in a first dimension and is specific to a relative velocity of object 5 in a second dimension.

[0040] It is conceivable to carry out the following steps according to FIGS. 3 and 6:

[0041] Carrying out the selection of the different window functions 211, 212, depending on a signal strength, in the particular subarea of detection information 201, this signal strength also being specific to the signal strength of target information 235, as highlighted in FIG. 6 based on the line thickness or dot size;

[0042] Carrying out windowing 103 of the subarea, using selected window function 211.

[0043] According to a variant shown in FIGS. 4, 5 and 7, windowing 103 and frequency analysis 104 of detection information 201 may be carried out during processing 102 for each of window functions 211, 212 for the purpose of obtaining in each case a piece of frequency information 231, 232 with the aid of one of window functions 211, 212. Processing 102 may comprise the following steps:

[0044] Carrying out windowing 103 of detection information 201 with the aid of a first 211 of the different window functions 211, 212 for the purpose of obtaining a first 231 of pieces of frequency information 231, 232 assigned to first window function 211 by means of frequency analysis 104 of windowed detection information 201.

[0045] Carrying out windowing 103 of (the same) detection information 201 with the aid of a second 212 of the different window functions 211, 212 for the purpose of obtaining a second 232 of pieces of frequency information 231, 232 assigned to second window function 212 by means of frequency analysis 104 of windowed detection information 201.

[0046] Ascertaining the signal strength of particular piece of target information 235 in at least one of pieces of frequency information 231, 232;

[0047] Carrying out a selection of pieces of target information 235 from the different pieces of frequency information 231, 232, depending on the ascertained signal strength, for the purpose of providing target information 235 with the aid of different window functions 211, 212 of windowing 103, depending on the evaluation criterion.

[0048] FIG. 7 shows that only the “strong” pieces of target information 235 result from first window function 211 or first piece of frequency information 231, due to this selection, and remaining pieces of target information 235 are substituted from second piece of frequency information 232. First window function 211 may be, for example, a Hann window, and/or second window function 212 may be a rectangular window function 212. In addition, a final piece of frequency information 234 may be determined as the result of processing 102, which is made up of different pieces of frequency information 231, 232 for the purpose of finally providing pieces of target information 235 with the aid of different window functions 211, 212 of windowing 103. The evaluation criterion may furthermore comprise a comparison with a predefined threshold value for the purpose of differentiating the strong signals from the weak signals.

[0049] The above explanation of the specific embodiments describes the present invention exclusively within the scope of examples. Individual features of the specific embodiments may, of course, be freely combined with each other if technically reasonable, without departing from the scope of the present invention.

[0050] The invention being thus described, it will be obvious that the same may be varied in many ways. Such variations are not to be regarded as a departure from the spirit and scope of the invention, and all such modifications as would be obvious to one skilled in the art are to be included within the scope of the following claims.