@inproceedings{aaaa1d77c8ab4522acd2c2086fa7a969,
title = "Multiple-channel detection of signals having known rank",
abstract = "Bayesian and generalized likelihood ratio tests are derived for detection of a common unknown signal of known rank K in M > K independent channels of white gaussian noise. The cases of known and unknown noise variance are both treated. These derivations encompass the development of explicit expressions for an invariant measure on the grassmannian manifold of K-dimensional subspaces of complexN-dimensional space and parameterization of this manifold to enable the calculation of the necessary marginalization integrals. Performance of the detectors is compared by simulation.",
keywords = "Bayesian detection, Coherence, GLRT, Grassmannian, Known-rank signal, Multiple-channel detection",
author = "Songsri Sirianunpiboon and Howard, {Stephen D.} and Douglas Cochran",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638925",
language = "English (US)",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "6536--6540",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}