Two-dimensional MUSIC Spectral Peak Search Algorithm Based on Improved Chicken Swarm Optimization

The two-dimensional classical multiple signal classification (MUSIC) algorithm is commonly used in the direction of arrival (DOA) estimation. However, it has a large amount of computation and slow computation when the spectral peaks are being searched. In view of these problems, an improved chicken swarm optimization (ICSO) algorithm with adaptive capability is proposed. In this scheme, the initial population is constructed by the theory of good point set, and the inertia weight is dynamically adjusted by introducing the feeding speed factor and aggregation degree factor. Finally, the inertia weight is added to the position updating formula of the hen. The experimental results indicate that the new method not only ensures the searching success rate, but also reduces the complexity of the computation. What's more, the system has a quicker convergence and a better stability.