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The Central DOA Estimation Algorithm for Multiple Coherently Distributed Sources

机译:多个相干分布源的中央DOA估计算法

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We consider the problem of estimating the central direction of arrival (DOA) of multiple coherently distributed sources. This problem is encountered due to the presence of local scatters in the vicinity of a transmitter or due to signals propagating through a random inhomogeneous medium. Since the integral steering vector of coherently distributed source can be deduced to be a Schur-Hadamard product comprised of point source steering vector and a real vector, a rotational eigenstructure is showed to exist accurately for two identical closely spaced subarrays. And then the central DOA can be obtained analytically without any peak-finding searching, which significantly reduces the computational complexity. In addition, the proposed algorithm needs little prior knowledge about angular signal intensity. The simulation results illustrate the better performance of the proposed method.
机译:我们考虑了估计多个相干分布源的中心到达方向(DOA)的问题。由于发射机附近存在局部散射,或者由于信号通过随机非均匀介质传播,因此会遇到此问题。由于可以将相干分布源的积分控制向量推导为由点源控制向量和实向量组成的Schur-Hadamard乘积,因此对于两个相同的近距离子阵列,旋转特征结构被精确地存在。然后,无需任何峰值查找搜索就可以解析地获得中央DOA,这大大降低了计算复杂度。另外,所提出的算法几乎不需要关于角度信号强度的先验知识。仿真结果表明了该方法的较好性能。

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