Source number estimator using Gerschgorin disks

Hsien Tsai Wu, Jar Ferr Yang, Fwu Kuen Chen

研究成果: Conference article同行評審

74 引文 斯高帕斯(Scopus)

摘要

The eigenstructure based estimator designed to be used with the aid of the Gerschgorin's disk theorem is proposed for source number detection. By introducing the unitary transformation of the covariance matrix, the Gerschgorin radii of the eigenstructure are exploited to determine the number of sources while overcoming a lack of data samples, noise model and data independency information. Unlike conventional methods such as Akaike Information Criterion (AIC) and Minimum Descriptive Length criterion (MDL), which are based on the cluster analysis of the eigenvalues used in conjunction with statistical formulations, the proposed method, called the Gerschgorin Disk Estimator (GDE), provide more accurate detection of the source number in situations of both simulated and measured experimental data.

原文English
文章編號389826
頁(從 - 到)IV261-IV264
期刊ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
4
DOIs
出版狀態Published - 1994
事件Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust
持續時間: 1994 四月 191994 四月 22

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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