均匀线阵目标到达角估计的压缩感知方法研究

Analysis on the DOA estimation of uniform circular arrays based on compressive sensing

为了缓解表面波雷达在天线阵列小型化后角度分辨率低的问题,采用压缩感知理论,提出一种小型天线阵列表面波雷达目标到达角估计的方法。将到达角估计问题转化为稀疏信号表示的重建问题。建立了稀疏信号模型,分析了应用条件,将角度和速度空间离散化以构造字典,设计了基于实时海态信息的测量矩阵,设计匹配算法完成信号重构。仿真结果表明,若满足准确重建条件,即使在小型天线阵列的情况下,也能以计算资源为代价改善方位分辨率。

In order to alleviate the serious problem of the low angle resolution after miniaturizing the antenna array of the surface wave radar, the compressed sensing method is proposed for radar antenna array angle estimation method. The sparse signals model is established, the application conditions are analyzed, and the measurement matrix is designed based on the real-time sea state information. By using the matching algorithm, the signal reconstruction is carried on. Simulation results show that if it satisfies the reconstruction condition, the azimuth resolution is improved by the method in the cost of the calculating resources.