基于混沌寻优的DOA估计
Direction of Arrival Estimation Based on Chaotic Optimization Algorithm
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摘要: 提出用混沌优化的方法来实现阵列信号波达方向(DOA)的极大似然估计。基于混沌运动的遍历性、内在的随机性、规律性等特点的混沌优化算法是一种有效的全局优化算法,其计算复杂度较低。仿真结果表明该文提出的方法在获得与AP算法相当测向精度和测向分辨率的情况下有更低的计算量;在相干信号的情况下,其性能比AP算法有较大的提高;同时其基于轨道搜索的结构易于并行实现,以进一步满足实时性的要求。Abstract: In this paper, a chaotic optimization method is presented for computing the Maximum Likelihood Estimation (MLE) of Direction of Arrivals (DOA) in sensor array processing. Based on the properties of ergodicity, stochastic property and regularity of chaos, the chaos optimization method can get global solution with low computational load. The simulation results show that this method is feasible and effective. Especially when the impinging signals are coherent, this method is much superior to AP.
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