Adaptive eigen-subspace algorithms for tracking suddenly disappearing sources

J. F. Yang, J. H. Hung

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Adaptive eigen-subspace algorithms have advantages in tracking nonstationary signal parameters, for example, the directions of arrival in array signal processing. Most adaptive eigenstructure methods can track all moving and suddenly appearing sources. However, an interesting disadvantage of these algorithms is that they fail to track suddenly disappearing sources. As a result of this failure, false peaks will occur in the angular spectrum at the directions where the sources disappear. The authors show this inherent problem of adaptive eigen-subspace algorithms by theoretical derivations and simulation examples.

Original languageEnglish
Pages (from-to)277-280
Number of pages4
JournalIEE Proceedings: Radar, Sonar and Navigation
Issue number6
Publication statusPublished - 1995 Dec 1

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


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