Title :
Maximum a posteriori estimation of signal rank
Author :
Sirianunpiboon, Songsri ; Howard, Stephen D. ; Cochran, Douglas
Author_Institution :
Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
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 :
MIMO communication; maximum likelihood estimation; radio receivers; signal processing; MIMO communication system; linearly independent signal impinging estimation; maximum a posteriori estimation; maximum-likelihood-BIC rank estimator; noise variance; noisy data collection; receiver; sensing system; signal rank estimation; Bayes methods; Conferences; Estimation; Sensors; Signal to noise ratio; Speech; Bayesian detection; MAP estimation; MIMO communications; multi-channel sensing; rank estimation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854690