基于fast-RVM算法的CACIS型互质阵列DOA估计

DOA estimation based on fast-RVM algorithm for CACIS type co-prime array

针对CACIS型互质阵列的快速、高精度DOA估计问题,提出了一种能够用于复数数据的fast-RVM算法.首先分析了CACIS型阵列结构;其次基于虚拟阵列扩展原理,构建了基于复数数据的稀疏信号模型;最后进行了数据的实数化处理,使其能够适用fast-RVM算法的数据结构.仿真结果表明,本文提出的CACIS型互质阵列DOA估计方法在具有较低运算复杂度的同时,也兼具了较高的DOA估计精度.

Aiming at the fast and high-precision DOA estimation of CACIS type co-prime array, this paper proposes a fast-RVM algorithm which can be used for complex data. Firstly, the paper analyzes the CACIS type array structure. Secondly, based on the principle of virtual array extension, the paper constructs a sparse signal model based on complex data. Finally, the real data processing is performed to make it applicable to the data structure of fast-RVM algorithm. Simulation results show that the DOA estimation method of CACIS type co-prime array proposed in the paper not only has lower computational complexity, but also has higher DOA estimation accuracy.