The performance of neural network for high resolution direction-of-arrival estimation

Y.M. Wang, Y.L. Ma
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引用次数: 3

Abstract

Neural network (NN) method for DOA estimation, recently suggested by Y.L. Ma et al. (1990), is a novel approach. It circumvents problems encountered in DOA estimation efficiently, especially for fully correlated signals. Asymptotically the algorithm has been shown to yield unbiased estimates (the standard deviation of the estimate error approaches the CR bound). This paper gives an analysis of the performance of the NN method, comparing it with eigenstructure algorithm (MUSIC). The article introduces certain measures to characterise its performance. Results of computer simulations are also presented.<>
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神经网络在高分辨率到达方向估计中的性能
神经网络(NN)方法是最近由Y.L. Ma et al.(1990)提出的一种新的DOA估计方法。它有效地避免了DOA估计中遇到的问题,特别是对于完全相关的信号。渐近地,该算法已被证明可以产生无偏估计(估计误差的标准差接近CR界)。本文对该方法的性能进行了分析,并与特征结构算法(MUSIC)进行了比较。本文介绍了表征其性能的一些措施。并给出了计算机模拟的结果。
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