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Proceedings Paper

A New Criterion For The Determination Of The Number Of Signals In High-Resolution Array Processing
Author(s): K. M. Wong; Q. T. Zhang; J. P. Reilly; P. Yip
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Paper Abstract

A problem central to most high resolution methods of array processing is the determination of the number of signals K from a finite set of observations. Two commonly used criteria which do not employ the use of a subjective threshold are the AIC and MDL both of which consist of a term of likeihood function and a penalty term. The idea is to find a number K such that either of the criteria is mini nized Examination of both criteria reveals that the likelihood function encompasses irrelevant parameters resulting in the relatively inaccurate estimation of the relevant parameters. A new criterion is proposed here such that a new likelihood function is derived consisting of only the parameters having bearing to the determination of K. The improvement of the accuracy in the estimation of the relevant parameters is evaluated. This new criterion is put to test and computer simulations indicate that considerable improvement in performance is attained.

Paper Details

Date Published: 23 February 1988
PDF: 6 pages
Proc. SPIE 0975, Advanced Algorithms and Architectures for Signal Processing III, (23 February 1988); doi: 10.1117/12.948518
Show Author Affiliations
K. M. Wong, McMaster University (Canada)
Q. T. Zhang, McMaster University (Canada)
J. P. Reilly, McMaster University (Canada)
P. Yip, McMaster University (Canada)


Published in SPIE Proceedings Vol. 0975:
Advanced Algorithms and Architectures for Signal Processing III
Franklin T. Luk, Editor(s)

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