In colocated compressive sensing MIMO radar, the measurement matrix is specified by antenna placement. To guarantee an acceptable recovery performance, this measurement matrix should satisfy certain properties, e.g., a small coherence. Prior work in the literature often employs randomized placement algorithms which optimize the prior distribution of antenna locations. The performance of these algorithms is suboptimal, as they can be easily enhanced via expurgation. In this paper, we suggest an iterative antenna placement algorithm which determines the antenna locations deterministically. The proposed algorithm locates jointly the antenna elements on the transmit and receive arrays, such that the coherence of the resulting measurement matrix is minimized. Numerical simulations demonstrate that the proposed algorithm outperforms significantly the benchmark, even after expurgation.
翻译:在同地压缩遥感MIMO雷达中,测量矩阵由天线定位来指定。为了保证可接受的恢复性能,这一测量矩阵应该满足某些特性,例如小的连贯性。文献中以前的工作经常采用随机定位算法,优化天线位置的先前分布。这些算法的性能不理想,因为通过清除很容易增强。在本文中,我们建议一种迭代天线定位算法,确定天线位置。拟议的算法将传输和接收阵列上的天线元素联合定位在一起,从而尽量减少由此产生的测量矩阵的一致性。数字模拟表明,拟议的算法明显超过基准,即使在清除之后也是如此。