基于Unitary ESPRIT的圆和非圆信号联合DOA估计

Joint Circular and Non-circular Sources Direction Finding Method Based on Unitary ESPRIT

基于非圆信号的Unitary ESPRIT(NC Unitary ESPRIT)算法,与unitary ESPRIT相比,明显提高了DOA估计的精度,并且可以处理更多的入射波。但是,在对多个入射波进行DOA估计的时候,更常见的是入射波既包含圆信号又包含非圆信号情形,而NC Unitary ESPRIT算法不能很好地进行这类信号的DOA估计。在分析两种信号共同存在时的信号模型结构的基础上,提出了一种新的同时估计圆信号和非圆信号DOA的unitary ESPRIT算法,并且该方法能够区分出圆信号和非圆信号。计算机仿真表明了所提出的方法比unitary ESPRIT方法有更好的估计效果,并且信号源中非圆信号所占的比重越大,估计效果越好。而当入射波均为非圆信号时,提出的算法性能与NC Unitary ESPRIT相似。

The NC unitary ESPRIT algorithm based on noncircular sources increases the number of detectable directions as well as to improve the performance accuracy compared with the unitary ESPRIT algorithm. But it is more realistic that some users send noncircular signals while others still send circular signals under which scenarios the NC unitary ESPRIT algorithm fail to solve the direction-of-arrival （DOA） estimations. A new algorithm based on unitary ESPRIT was proposed to cope with this more general scenario. Meanwhile the proposed algorithm is able to discriminate the circular sources from the non-circular ones. Computer simulations show the performance of the proposed algorithm. The bigger proportion the non-circular sources occupies,the better performance the proposed algorithm has and has the same performance as NC unitary ESPRIT algorithm when all of sources is non-circular.