Signal processing method and apparatus
This disclosure provides a signal processing method and apparatus. The method includes: obtaining Nr1×M1 signals, where the Nr1×M1 signals are echo signals of M1 signals that are sent by a radar to a target in a SIMO mode; obtaining Nt×Nr2×M2 signals, where the Nt×Nr2×M2 signals are echo signals of M2 signals that are sent by the radar to the target in a MIMO mode; performing first signal processing on the Nr1×M1 signals to obtain first processing data, where the first signal processing includes sequentially performing range FFT analysis, linear prediction, and Doppler FFT analysis; performing second signal processing on the Nt×Nr2×M2 signals to obtain second processing data, where the second signal processing includes range FFT analysis and Doppler FFT analysis; and performing velocity matching ambiguity resolution processing based on the first processing data and the second processing data.
1. A signal processing method, comprising:
obtaining Nr1×M1 signals, wherein the Nr1×M1 signals are echo signals of M1 signals that are sent by a radar to a target in a single input multiple output (SIMO) mode, the SIMO mode corresponds to one transmit channel and Nr1 receive channels, and Nr1 and M1 are integers greater than 1;
obtaining Nt×Nr2×M2 signals, wherein the Nt×Nr2×M2 signals are echo signals of M2 signals that are sent by the radar to the target in a multiple input multiple output (MIMO) mode, the MIMO mode corresponds to Nt transmit channels and Nr2 receive channels, and Nt, Nr2, and M2 are integers greater than 1;
performing first signal processing on the Nr1×M1 signals to obtain first processing data, wherein the first signal processing comprises sequentially performing the following processing: range fast Fourier transform (FFT) analysis, linear prediction, and Doppler FFT analysis, and the linear prediction is used to predict FFT data before or after a time domain of FFT data obtained by performing the range FFT analysis;
performing second signal processing on the Nt×Nr2×M2 signals to obtain second processing data, wherein the second signal processing comprises range FFT analysis and Doppler FFT analysis; and
performing velocity matching ambiguity resolution processing based on the first processing data and the second processing data.
2. The method according to claim 1 , wherein the first signal processing comprises sequentially performing the following processing: the range FFT analysis, coherent superposition of receive channels, the linear prediction, the Doppler FFT analysis, and constant false alarm rate (CFAR) detection.
3. The method according to claim 1 , wherein the first signal processing comprises sequentially performing the following processing: the range FFT analysis, the linear prediction, the Doppler FFT analysis, signal superposition, and constant false alarm rate (CFAR) detection.
4. The method according to claim 1 , wherein the second signal processing further comprises sequentially performing the following processing: the range FFT analysis, the Doppler FFT analysis, signal superposition, and constant false alarm rate (CFAR) detection.
5. The method according to claim 2 , wherein the performing first signal processing on the Nr1×M1 signals to obtain first processing data comprises:
performing the range FFT analysis on the Nr1×M1 signals to obtain Nr1×M1 pieces of 1-dimension FFT data;
performing the coherent superposition of receive channels on the Nr1×M1 pieces of 1-dimension FFT data to obtain M1 pieces of 1-dimension FFT data;
performing the linear prediction on the M1 pieces of 1-dimension FFT data to obtain M1+Y pieces of 1-dimension FFT data, wherein Y is a positive integer;
performing the Doppler FFT analysis on the M1+Y pieces of 1-dimension FFT data to obtain one range-Doppler spectrum graph; and
performing the CFAR detection on the range-Doppler spectrum graph to obtain the first processing data.
6. The method according to claim 3 , wherein the performing first signal processing on the Nr1×M1 signals to obtain first processing data comprises:
performing the range FFT analysis on the Nr1×M1 signals to obtain Nr1×M1 pieces of 1-dimension FFT data;
respectively performing the linear prediction on the Nr1×M1 pieces of 1-dimension FFT data based on different receive channels to obtain Nr1×(M1+Y) pieces of 1-dimension FFT data, wherein Y is a positive integer;
respectively performing the Doppler FFT analysis on the Nr1×(M1+Y) pieces of 1-dimension FFT data based on different receive channels to obtain Nr1 first range-Doppler spectrum graphs;
performing the signal superposition on the Nr1 first range-Doppler spectrum graphs to obtain one second range-Doppler spectrum graph; and
performing the CFAR detection on the second range-Doppler spectrum graph to obtain the first processing data.
7. The method according to claim 4 , wherein the performing second signal processing on the Nt×Nr2×M2 signals to obtain second processing data comprises:
performing the range FFT analysis on the Nt×Nr2×M2 signals to obtain Nt×Nr2×M2 pieces of 1-dimension FFT data;
respectively performing the Doppler FFT analysis on the Nt×Nr2×M2 pieces of 1-dimension FFT data to obtain Nt×Nr2 third range-Doppler spectrum graphs;
performing the signal superposition on the Nt×Nr2 third range-Doppler spectrum graphs to obtain one fourth range-Doppler spectrum graph; and
performing the CFAR detection on the fourth range-Doppler spectrum graph to obtain the second processing data.
8. An apparatus, comprising:
a memory configured to store instructions; and
a processor coupled to the memory and configured to execute the instructions to cause the apparatus to:
obtain Nr1×M1 signals, wherein the Nr1×M1 signals are echo signals of M1 signals that are sent by a radar to a target in a single input multiple output (SIMO) mode, the SIMO mode corresponds to one transmit channel and Nr1 receive channels, and Nr1 and M1 are integers greater than 1;
obtain Nt×Nr2×M2 signals, wherein the Nt×Nr2×M2 signals are echo signals of M2 signals that are sent by the radar to the target in a multiple input multiple output (MIMO) mode, the MIMO mode corresponds to Nt transmit channels and Nr2 receive channels, and Nt, Nr2, and M2 are integers greater than 1;
perform first signal processing on the Nr1×M1 signals to obtain first processing data, wherein the first signal processing comprises sequentially performing the following processing: range fast Fourier transform (FFT) analysis, linear prediction, and Doppler FFT analysis, and the linear prediction is used to predict FFT data before or after a time domain of FFT data obtained by performing the range FFT analysis;
perform second signal processing on the Nt×Nr2×M2 signals to obtain second processing data, wherein the second signal processing comprises range FFT analysis and Doppler FFT analysis; and
perform velocity matching ambiguity resolution processing based on the first processing data and the second processing data.
9. The apparatus according to claim 8 , wherein the first signal processing comprises sequentially performing the following processing: the range FFT analysis, coherent superposition of receive channels, the linear prediction, the Doppler FFT analysis, and constant false alarm rate (CFAR) detection.
10. The apparatus according to claim 8 , wherein the first signal processing comprises sequentially performing the following processing: the range FFT analysis, the linear prediction, the Doppler FFT analysis, signal superposition, and constant false alarm rate (CFAR).
11. The apparatus according to claim 8 , wherein the second signal processing further comprises sequentially performing the following processing: the range FFT analysis, the Doppler FFT analysis, signal superposition, and constant false alarm rate (CFAR).
12. The apparatus according to claim 9 , wherein the perform first signal processing on the Nr1×M1 signals to obtain first processing data comprises:
perform the range FFT analysis on the Nr1×M1 signals to obtain Nr1×M1 pieces of 1-dimension FFT data;
perform the coherent superposition of receive channels on the Nr1×M1 pieces of 1-dimension FFT data to obtain M1 pieces of 1-dimension FFT data;
perform the linear prediction on the M1 pieces of 1-dimension FFT data to obtain M1+Y pieces of 1-dimension FFT data, wherein Y is a positive integer;
perform the Doppler FFT analysis on the M1+Y pieces of 1-dimension FFT data to obtain one range-Doppler spectrum graph; and
perform the CFAR detection on the range-Doppler spectrum graph to obtain the first processing data.
13. The apparatus according to claim 10 , wherein the perform first signal processing on the Nr1×M1 signals to obtain first processing data comprises:
perform the range FFT analysis on the Nr1×M1 signals to obtain Nr1×M1 pieces of 1-dimension FFT data;
respectively perform the linear prediction on the Nr1×M1 pieces of 1-dimension FFT data based on different receive channels to obtain Nr1×(M1+Y) pieces of 1-dimension FFT data, wherein Y is a positive integer;
respectively perform the Doppler FFT analysis on the Nr1×(M1+Y) pieces of 1-dimension FFT data based on different receive channels to obtain Nr1 first range-Doppler spectrum graphs;
perform the signal superposition on the Nr1 first range-Doppler spectrum graphs to obtain one second range-Doppler spectrum graph; and
perform the CFAR detection on the second range-Doppler spectrum graph to obtain the first processing data.
14. The apparatus according to claim 11 , wherein the perform second signal processing on the Nt×Nr2×M2 signals to obtain second processing data comprises:
perform the range FFT analysis on the Nt×Nr2×M2 signals to obtain Nt×Nr2×M2 pieces of 1-dimension FFT data;
respectively perform the Doppler FFT analysis on the Nt×Nr2×M2 pieces of 1-dimension FFT data to obtain Nt×Nr2 third range-Doppler spectrum graphs;
perform the signal superposition on the Nt×Nr2 third range-Doppler spectrum graphs to obtain one fourth range-Doppler spectrum graph; and
perform the CFAR detection on the fourth range-Doppler spectrum graph to obtain the second processing data.
15. A computer program product comprising computer-executable instructions that are stored on a non-transitory computer-readable storage medium and that, when executed by a processor, cause an apparatus to:
obtain Nr1×M1 signals, wherein the Nr1×M1 signals are echo signals of M1 signals that are sent by a radar to a target in a single input multiple output (SIMO) mode, the SIMO mode corresponds to one transmit channel and Nr1 receive channels, and Nr1 and M1 are integers greater than 1;
obtain Nt×Nr2×M2 signals, wherein the Nt×Nr2×M2 signals are echo signals of M2 signals that are sent by the radar to the target in a multiple input multiple output (MIMO) mode, the MIMO mode corresponds to Nt transmit channels and Nr2 receive channels, and Nt, Nr2, and M2 are integers greater than 1;
perform first signal processing on the Nr1×M1 signals to obtain first processing data, wherein the first signal processing comprises sequentially performing the following processing: range fast Fourier transform (FFT) analysis, linear prediction, and Doppler FFT analysis, and the linear prediction is used to predict FFT data before or after a time domain of FFT data obtained by performing the range FFT analysis;
perform second signal processing on the Nt×Nr2×M2 signals to obtain second processing data, wherein the second signal processing comprises range FFT analysis and Doppler FFT analysis; and
perform velocity matching ambiguity resolution processing based on the first processing data and the second processing data.
16. The computer program product according to claim 15 , wherein the first signal processing comprises sequentially performing the following processing: the range FFT analysis, coherent superposition of receive channels, the linear prediction, the Doppler FFT analysis, and constant false alarm rate (CFAR) detection.
17. The computer program product according to claim 15 , wherein the first signal processing comprises sequentially performing the following processing: the range FFT analysis, the linear prediction, the Doppler FFT analysis, signal superposition, and constant false alarm rate (CFAR).
18. The computer program product according to claim 15 , wherein the second signal processing further comprises sequentially performing the following processing: the range FFT analysis, the Doppler FFT analysis, signal superposition, and constant false alarm rate (CFAR).
19. The computer program product according to claim 16 , wherein the perform first signal processing on the Nr1×M1 signals to obtain first processing data comprises:
perform the range FFT analysis on the Nr1×M1 signals to obtain Nr1×M1 pieces of 1-dimension FFT data;
perform the coherent superposition of receive channels on the Nr1×M1 pieces of 1-dimension FFT data to obtain M1 pieces of 1-dimension FFT data;
perform the linear prediction on the M1 pieces of 1-dimension FFT data to obtain M1+Y pieces of 1-dimension FFT data, wherein Y is a positive integer;
perform the Doppler FFT analysis on the M1+Y pieces of 1-dimension FFT data to obtain one range-Doppler spectrum graph; and
perform the CFAR detection on the range-Doppler spectrum graph to obtain the first processing data.
20. The computer program product according to claim 17 , wherein the perform first signal processing on the Nr1×M1 signals to obtain first processing data comprises:
perform the range FFT analysis on the Nr1×M1 signals to obtain Nr1×M1 pieces of 1-dimension FFT data;
respectively perform the linear prediction on the Nr1×M1 pieces of 1-dimension FFT data based on different receive channels to obtain Nr1×(M1+Y) pieces of 1-dimension FFT data, wherein Y is a positive integer;
respectively perform the Doppler FFT analysis on the Nr1×(M1+Y) pieces of 1-dimension FFT data based on different receive channels to obtain Nr1 first range-Doppler spectrum graphs;
perform the signal superposition on the Nr1 first range-Doppler spectrum graphs to obtain one second range-Doppler spectrum graph; and
perform the CFAR detection on the second range-Doppler spectrum graph to obtain the first processing data.