Thinned array antennas RMA imaging in microwave anechoic chamber based on compressed sensing

The thinned array antennas can effectively reduce the scale and processing complexity of microwave imaging system, but it will lead to image blur or aliasing while the data sampling rate of azimuthal aperture can not meet the requirements of the Nyquist sampling theorem in the imaging process. Thus, thinned array antenna RMA imaging algorithm for the microwave anechoic chamber based on Compressed Sensing is proposed in the paper. Firstly, thinned array antenna imaging system model in the microwave anechoic chamber is established, secondly, amplitude correction and phase error compensation about the sparse sampling azimuthal echo data is accomplished, then echo signal is reconstructed precisely by Compressed Sensing theory, the final RMA imaging is obtained. The larger space sampling interval thinned array RMA high resolution imaging is achieved by the algorithm, and the data from microwave anechoic chamber is used to verify the validity and feasibility of the algorithm.