@inproceedings{94562b677fc24d49a9475459d44d6e69,
title = "Maximum a posteriori estimation of signal rank",
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.",
keywords = "Bayesian detection, MAP estimation, MIMO communications, multi-channel sensing, rank estimation",
author = "Songsri Sirianunpiboon and Howard, {Stephen D.} and Douglas Cochran",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/ICASSP.2014.6854690",
language = "English (US)",
isbn = "9781479928927",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5676--5680",
booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",
note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",
}