Compressed sensing 3D imaging with FMCW MIMO millimeter wave radars
Aims:For frequency modulated continuous wave(FMCW)multiple input multiple output(MIMO),a MIMO radar uses the traditional compressed sensing method to solve the difficult reconstruction problem due to the large measurement matrix.Without affecting the performance of the compressed sensing reconstruction algorithm,this paper proposes a partition compressed sensing reconstruction imaging method based on the compressed sensing reconstruction theory.Methods:Based on the traditional compressed sensing reconstruction method,the multi-dimensional joint observation of radar array signal tensors containing horizontal angle,pitch angle and range information was carried out;and the three-dimensional characteristics of the target were greatly retained under the condition of compressed data sampling.The idea of block compressed sensing in the field of image compressed sensing was introduced to greatly reduce the memory occupation during observation and reconstruction.A non-random construction method was used to construct the measurement matrix,which made it easier to implement in hardware.Compared with the traditional direct imaging algorithm,the partitioned compressed sensing reconstruction algorithm based on the compressed sensing reconstruction theory could greatly reduce the data sampling rate and data transmission pressure while ensuring the imaging effect.Results:Simulation results showed that the partitioned compressed sensing reconstruction algorithm could achieve an average structural similarity of 79％under the extreme condition of a compression sampling ratio of 0.4.Radar imaging experiments showed that the algorithm could still achieve high resolution imaging of complex targets in the general environment.Conclusions:The proposed algorithm can achieve high-resolution radar imaging under the condition of less sampling,which is easier to implement than the traditional reconstruction algorithm.
MIMO radarcompressed sensing reconstructionarray signal processingimaging radarhigh-resolution imaging
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