高精度宽带欠定信号快速DOA估计方法

Fast DOA estimation methods for underdetermined wideband signals with a high accuracy

针对分布式同步正交匹配跟踪算法精度不高的问题,基于多次迭代搜索的思想,提出两种高精度宽带欠定信号到达角估计方法。首先,构建稀疏阵列宽带信号处理模型,并通过稀疏表示将到达角估计转化为分布式压缩感知问题;其次,利用矩阵变换去除噪声污染项,以消除噪声功率的影响;然后,分别利用邻近网格搜索和网格精细化搜索两种方式进行改进,以提高无网格失配和有网格失配条件下的到达角估计精度。仿真结果表明,所提算法是有效的,在保持运算速度优势的前提下,较分布式同步正交匹配跟踪算法显著提升了估计精度。

In order to handle the low accuracy of the algorithm DCS-SOMP,two underdetermined wideband direction of arrival estimation methods with a high accuracy are proposed from the perspective of multiple iteration.First,the wideband signal processing model using the sparse array is established and transformed into a distributed compressive sensing problem through sparse representation.Then,the noises are eliminated through matrix transformation.After that,an algorithm utilizing proximity searching is proposed to improve the estimation accuracy and an algorithm based on the refined grid is proposed to compensate grid mismatch.Simulation results show that the proposed algorithms outperform the DCS-SOMP with a higher estimation accuracy and possess the advantage in computational speed.