Maximum a posteriori estimation of signal rank

Songsri Sirianunpiboon, Stephen D. Howard, Douglas Cochran

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

6 Citations (Scopus)

Abstract

Estimating the number of linearly independent signals impinging on a collection of receivers is of increasing recent interest, particularly in connection with MIMO systems for communications and sensing. This paper derives maximum a posteriori estimators for signal rank from noisy data collected at multiple receivers. Situations in which noise variance is known and unknown are both treated. These estimators are shown to significantly outperform maximum-likelihood/BIC rank estimators.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5676-5680
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 2014
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
CountryItaly
CityFlorence
Period5/4/145/9/14

Fingerprint

MIMO systems
Maximum likelihood
Communication

Keywords

  • Bayesian detection
  • MAP estimation
  • MIMO communications
  • multi-channel sensing
  • rank estimation

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Sirianunpiboon, S., Howard, S. D., & Cochran, D. (2014). Maximum a posteriori estimation of signal rank. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 5676-5680). [6854690] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854690

Maximum a posteriori estimation of signal rank. / Sirianunpiboon, Songsri; Howard, Stephen D.; Cochran, Douglas.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 5676-5680 6854690.

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

Sirianunpiboon, S, Howard, SD & Cochran, D 2014, Maximum a posteriori estimation of signal rank. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6854690, Institute of Electrical and Electronics Engineers Inc., pp. 5676-5680, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 5/4/14. https://doi.org/10.1109/ICASSP.2014.6854690
Sirianunpiboon S, Howard SD, Cochran D. Maximum a posteriori estimation of signal rank. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 5676-5680. 6854690 https://doi.org/10.1109/ICASSP.2014.6854690
Sirianunpiboon, Songsri ; Howard, Stephen D. ; Cochran, Douglas. / Maximum a posteriori estimation of signal rank. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 5676-5680
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