基于压缩感知的稳健单通道波达方向估计方法

发布时间：2018-03-05 06:24

  本文选题：压缩感知　切入点：单通道　出处：《电波科学学报》2014年04期 　论文类型：期刊论文

【摘要】：针对接收阵列射频通道间增益不一致以及系统感知模型与目标角度信息失配等情况下,基于压缩感知(Compressive Sensing,CS)的多目标波达方向(Direction of Arrival,DOA)估计方法性能下降的问题,提出了一种新的单通道CS-DOA估计方法.引入一种单通道阵列体制,并建立系统模型失配时的DOA稀疏感知模型;将丹茨格(Dantzig Selector,DS)算法和遗传算法相结合,分别对目标角度信息矢量和系统模型失配误差进行交替迭代优化.该方法有效克服了常见CS-DOA方法无法抑制系统模型失配误差的问题,避免了射频通道间增益不一致对DOA估计性能的影响.仿真结果表明:该方法性能优于传统DOA估计算法,能够对任意相关性信号进行有效DOA估计,具有更高的角度分辨力和估计精度.
[Abstract]:In view of the inconsistency of gain between the RF channels of the receiving array and the mismatch between the system perception model and the target angle information, the performance of the multi-target DOA estimation method based on compressed perceptive sensing CSS is degraded. In this paper, a new single-channel CS-DOA estimation method is proposed, a single-channel array system is introduced, and the DOA sparse sensing model is established when the system model is mismatched, and the Dantzig Selector-Based DSs algorithm is combined with the genetic algorithm. The target angle information vector and the system model mismatch error are optimized by alternating iteration respectively. This method effectively overcomes the problem that the common CS-DOA method can not suppress the system model mismatch error. The effect of gain inconsistency between RF channels on the performance of DOA estimation is avoided. The simulation results show that the proposed method is superior to the traditional DOA estimation algorithm and can effectively estimate the DOA of arbitrary correlated signals. It has higher angle resolution and estimation accuracy.
【作者单位】： 南京理工大学电子工程与光电技术学院;
【基金】：国家自然科学基金(No.61301022)
【分类号】：TN911.23
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本文编号：1569101