将循环平稳理论引入到均匀圆阵的波达方向估计中，提出了一种基于圆阵的扩展循环 MUSIC 算法。同时利用信号的循环相关阵和循环共轭相关阵的信息，有效抑制了同频带内干扰和噪声的影响，实现了感兴趣信号与干扰信号的有效分离。仿真实验结果表明，所提算法具有较高的波达方向估计精度和较好的多信号分辨能力，且突破了经典MUSIC算法关于信源数不能超过阵元数的限制。%By introducing cyclostationary theory into the estimation of direction of signal of arrival, a novel extended cyclic MUSIC algorithm based on uniform circular array was developed. The proposed method could eliminate both noises and interferences in the same frequency band by exploiting simultaneously the information contained in both cyc-lic correlation matrix and cyclic conjugate correlation matrix of the extended array data vector. It has the ability to select desired signals and ignore interferences from the received data. Simulation results demonstrate that the proposed algo-rithm has a high DOA estimation accuracy and multi-signal resolution. On the other hand, the proposed method also breaks through the limitation of the classic MUSIC algorithm in which the number of source signal cannot be greater than the number of element in the receiving array.
展开▼
