Title

Multiple sources neural network direction finding with arbitrary separations

Abstract

Interference rejection is very important and often represents an inexpensive way to increase the system capacity of cellular and mobile communication systems. This paper presents a modification to the radial basis function-based direction finding algorithm where the DOA problem is approached as a mapping which can be modeled by training the network with input output pairs with multiple angular separations. The network is then able to track a fixed number of sources with arbitrary angular separations using a linear array. A novel training technique is suggested and the performance of the RBFNN algorithm is compared to ideal data.

Publication Date

1-1-1998

Publication Title

1998 IEEE-APS Conference on Antennas and Propagation for Wireless Communications, APWC 1998

Volume

1998-November

Number of Pages

57-60

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/APWC.1998.730646

Socpus ID

56349158303 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/56349158303

This document is currently not available here.

Share

COinS