一种高运算效率的MIMO雷达BP成像算法

针对多输入多输出(multiple-input multiple-output, MIMO)雷达反向投影(back projection, BP)成像算法运算量大、实时性差的问题，提出一种基于距离补偿和波束形成的高运算效率改进型MIMO雷达BP成像算法。首先通过匹配滤波完成距离压缩和发射波形分离，然后在极坐标下对各个距离单元散射点的时延特性进行分析并简化，将传统BP算法中的延迟相加过程转化为波束形成过程，从而完成方位向聚焦。所提方法避免了对所有像素点逐个求时延，减小了运算量，并且便于数据的并行批量处理，极大地提高了运算效率。仿真实验验证了所提方法的成像性能和高运算效率。

High computation efficiency BP imaging algorithm for MIMO radar

Aiming at the problem that the multiple-input multiple-output(MIMO) radar back projection(BP) imaging algorithm suffers heavy computational burden and poor real-time capability, a new highly computing efficiency MIMO radar BP imaging method is proposed based on range compensation and beamforming. First transmitting signal separation and range compression are completed via matched filtering. Then the delay characteristic is analyzed and simplified under polar coordinates, the delay and sum processing in traditional BP algorithm is transformed into beamforming to complete azimuth focusing. The proposed method avoids seeking the delay of all pixels one by one, reduces the computational complexity, and is convenient for data batch processing concurrently, which greatly improves the efficiency of operations. Simulation results demonstrate the effectiveness and high operational efficiency of the proposed MIMO radar imaging method.