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相干分布式信源中心波达方向估计算法

Central DOA Estimation Algorithm for Coherently Distributed Source
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摘要 针对移动通信中由本地散射导致的分布式信源的中心波达方向估计问题,根据分布式信源角度信号密度对称的约束条件,将相干分布式信源方向向量整理为点信源方向向量与实向量的Schur-Hadamard积,并构造相应的二阶统计量,提出了一种仅需利用二阶统计量就能直接估计中心波达方向的新方法。该算法与传统谱峰搜索类算法和经典子空间类算法相比,无须谱峰搜索和任何特征值或奇异值分解,有效地降低了计算量;所利用的二阶统计量对噪声不敏感,具有较好的信噪比性能;参数估计过程中,无须事先已知角度信号密度的具体类型,鲁棒性较好。仿真实验验证了所提算法的有效性。 In wireless communications,distributed signals originate from local scattering around the transmitter.A new powerful approach to estimating the central direction of arrival (DOA) for coherently distributed source was proposed.The steering vector was deduced to be a Schur-Hadamard product composed of the steering vector of the point source and a real vector according to the symmetry assumption of angular signal intensity.And then the second-order statistics was proposed to estimate the central DOA.An advantage of this method over the classical algorithms is that it doesn't apply any peak-finding searching and eigenvalue decomposition or singular value decomposition.This significantly reduces the computational complexity.The proposed algorithm is not sensitive to white noise,so it has improved SNR performance.In addition,the algorithm is robust.It doesn't need any pre-knowledge about angular signal intensity.Simulation results verify the effectiveness of the proposed algorithm.
出处 《系统仿真学报》 CAS CSCD 北大核心 2010年第5期1210-1213,共4页 Journal of System Simulation
基金 国家自然科学基金(60874108 60904035) 中央高校基本科研业务费资助(N090323003)
关键词 相干分布式信源 中心波达方向 角度扩散 二阶统计量 coherently distributed source central DOA angular spread second-order statistics
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参考文献11

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