多带正交压缩采样雷达回波信号的快速重构

多带正交压缩采样可实现多带模拟信号的亚Landau率采样,并同时获取每个子带同相和正交分量的压缩测量。对于多带雷达应用而言,恢复所有子带回波信号需求解多个大规模稀疏重构问题,计算量大、实时能力差。以探测同一场景的等带宽多带雷达为背景,在分析回波信号特征的基础上,揭示回波信号的块稀疏性,提出采用块稀疏重构模型恢复所有子带回波,发展块稀疏分段滑动快速重构方法。为了提高重构性能,对块正交匹配追踪算法进行了改进,提出了一个两步块正交匹配追踪算法。仿真结果验证了块稀疏分段滑动重构方法的有效性和正确性。

Fast reconstruction of radar echoes with multiband quadrature compressive sampling

Multiband quadrature compressive sampling (MQCS) can perform sub-Landau sampling for multiband analog signals, and acquire the compressive inphase and quadrature components of each subband signal. For multiband radar applications, it is required to solve multiple large-scale sparse reconstruction problems for recovering all subband echoes, which need huge computational cost and thus have poor real-time recovery ability. This paper considers an equal-bandwidth multiband radar for detecting a radar scenario. With the analyses on the MQCS radar, it is found that the radar echoes are not only sparse but also block sparse and then block sparse reconstruction methods can be used to recover the echoes. For real-time or fast reconstruction, a block-sparsity-based segment-sliding reconstruction (BSegSR) scheme is proposed. To improve the reconstruction performance, a two-step block orthogonal matching pursuit (TBOMP) algorithm is developed on the basis of the block orthogonal matching pursuit (BOMP) algorithm. Simulation results validate the effectiveness and the correctness of the BSegSR scheme.