On estimating the number of signals

Jie Yang, Pinyuen Chen, Tiee Jian Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we apply model selection criteria in time series and regression analysis to the estimation of the number of signals in the MUSIC (Multiple Signal Classification) method. We compare the following model selection (information) criteria: AIC, HQ, BIC, AICC, and the recently introduced WIC as the weighted average of AICC and BIC. The general form of the above information criteria consists of a log likelihood function expressed in terms of the eigenvalues of the covariance matrix and a unique penalty term. In our estimation procedure, the number of signals is obtained by minimizing each of the above criteria. A linear antenna array example is presented to compare the performance of the above model selection criteria in signal processing problem.

Original languageEnglish (US)
Title of host publication2007 IEEE Antennas and Propagation Society International Symposium, AP-S
Pages1132-1135
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE Antennas and Propagation Society International Symposium, AP-S - Honolulu, HI, United States
Duration: Jun 10 2007Jun 15 2007

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Other

Other2007 IEEE Antennas and Propagation Society International Symposium, AP-S
CountryUnited States
CityHonolulu, HI
Period6/10/076/15/07

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'On estimating the number of signals'. Together they form a unique fingerprint.

  • Cite this

    Yang, J., Chen, P., & Wu, T. J. (2007). On estimating the number of signals. In 2007 IEEE Antennas and Propagation Society International Symposium, AP-S (pp. 1132-1135). [4395698] (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). https://doi.org/10.1109/APS.2007.4395698