Abstract:

Compressed sensing (CS) theory provides great possibilities for resolving many problems associated with high resolution radar, such as the high sampling rate of large bandwidth, challenges to the memory, transmission and processing of immense data.〖JP2〗 CS by random convolution is a universally efficient data acquisition strategy and easy to realize. The radar imaging technique based on CS by random convolution is taken into research and different downsampling strategies in random measurement scheme are analyzed. Experiments from simulated data and real data verify the validity of the proposed imaging method, and the influences of signal to noise ratio (SNR) and sample number on imaging performance under different downsampling strategies are analyzed and compared.