文化鱼群算法的广义MUSIC测向技术

针对现有的测向算法测相干信号源会损失天线阵列孔径的问题,在引入广义导向矢量和广义导向矩阵的基础上,建立了一种通用的阵列数据模型,提出了一种基于四阶累积量的广义MUSIC测向算法。为求解所提的广义MUSIC测向算法,在文化算法中使用人工鱼群进化机制,引入了一种多维搜索的文化鱼群算法。仿真结果证明了所设计的测向算法在不损失四阶累积量所扩展阵列孔径的情形下,可有效测相干信源与独立信源的方向,与现有一些经典算法相比,所提算法有较大的优势和较广的应用范围。

Generalized MUSIC direction finding techniques based on cultural fish school algorithm

To resolve the problem of array aperture loss in coherent signal direction-of-arrival estimation, a generalized array data model was constructed and a generalized MUSIC algorithm based on generalized steering vectors, steering matrix and fourth order cumulate respectively was proposed for direction finding. In search of the optimal values of cost function of GMUSIC, a cultural fish school (CFS) algorithm was introduced based on cultural algorithm and fish school algorithm. Simulations results proved that the proposed algorithm can find directions of coherent sources and independent sources without loss of the array aperture extended by fourth order cumulates, and its performance and application domain is superior to the previous classic algorithms.