论文部分内容阅读
针对由多模传播引起的多普勒扩展杂波(SDC)严重影响天波超视距雷达(OTHR)对慢速船舰目标的检测这一问题,在基于多输入多输出体制的新一代天波超视距(MIMO-OTH)雷达系统下,利用空域信息抑制多模SDC。传统处理方法需要目标角度先验信息,而在实际中,该信息往往很难获得。为此,提出一种新的基于稀疏重建的多模杂波抑制算法。该算法将二维的稀疏角度搜索转变为一维的角度搜索,使运算量大大降低,且估计出的收发角(DOA-DOD)自动配对,同时可获得各个传播路径下信号的时间多普勒信息,达到了理想的MIMO-OTH雷达多模杂波抑制效果。仿真结果证明了所提算法的有效性。
In view of the problem that the Doppler spread spectrum clutter (SDC) caused by multimode propagation seriously affects the detection of slow ship targets by sky-wave OTHR, a new generation of sky-wave based on multiple input and multiple output Under the MIMO-OTH radar system, spatial information is used to suppress multi-mode SDC. Traditional approaches require priori information on target perspectives, and in practice this information is often hard to come by. Therefore, a new multi-mode clutter suppression algorithm based on sparse reconstruction is proposed. The algorithm transforms the two-dimensional sparse angle search into one-dimensional angle search, which greatly reduces the computational complexity and automatically estimates DOAs (DOA-DOD). At the same time, the time Doppler of signals in each propagation path Information, to achieve the ideal MIMO-OTH radar multimodule clutter suppression. Simulation results show the effectiveness of the proposed algorithm.