统计和神经DOA估计技术的比较研究

IEEE Seventh SP Workshop on Statistical Signal and Array Processing Pub Date : 1994-06-26 DOI:10.1109/SSAP.1994.572459

T. Lo, H. Leun, J. Litval

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摘要

在这封信中，我们比较了基于径向基函数(RBF)网络的到达方向(DOA)技术与标准MUSIC算法。利用RBF网络逼近传感器输出与到达方向之间的函数关系。仿真结果表明，新方法在估计误差方面具有较好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Comparative Study of Statistical and Neural DOA Estimation Techniques

In this letter, we compare the direction-ofarrival (DOA) technique based on the use of a radial basis function (RBF) network with the standard MUSIC algorithm. The RBF network is used to approximate the functional relationship between sensor outputs and the directionof-arrivals. Simulation results show that the new technique has a better performance, in terms of estimation errors.

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IEEE Seventh SP Workshop on Statistical Signal and Array Processing

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