Title

Antenna array signal processing with neural networks for direction of arrival estimation

Abstract

A Neural Network architecture is applied to the problem of Direction Of Arrival (DOA) estimation using a linear array. A three layer Radial Basis Function Network (RBFN) trained with input output pairs. The network is then capable of estimating DOA not included in the training set through generalization. This approach reduces the extensive computations required by conventional superresolution algorithms such as MUSIC and easier to implement in real-time. The results suggest that the performance of the RBFN method approaches that of the MUSIC algorithm. In real time fast convergence rates of neural networks will allow the array to track mobile sources.

Publication Date

1-1-1997

Publication Title

IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

Volume

4

Number of Pages

2274-2277

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0030658575 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0030658575

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