Title :
Multiple-channel detection in active sensing
Author :
Beaudet, Kaitlyn ; Cochran, Douglas
Author_Institution :
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
The problem of detecting the presence of a known signal in multiple channels of additive noise, such as occurs in active radar with a single transmitter and multiple geographically distributed receivers, is addressed via coherent multiple-channel techniques. The transmitted signal replica is treated as one channel in a suitable M-channel detector with the remaining M - 1 channels comprised of data from the receivers. To accommodate this approach, an invariance result for the distribution of the eigenvalues of a Gram matrix is derived. The result implies that false alarm probabilities for any detector based on a function of the eigenvalues are not changed if one data channel contains a signal replica, provided that the other M - 1 channels only Gaussian noise and all channels are independent.
Keywords :
AWGN channels; covariance matrices; eigenvalues and eigenfunctions; signal detection; Gaussian noise; Gram matrix; M channel detector; active radar; active sensing; additive noise; coherent multiple channel techniques; false alarm probabilities; multiple channel detection; multiple geographically distributed receivers; signal detection; single transmitter; transmitted signal replica; Channel estimation; Coherence; Detectors; Eigenvalues and eigenfunctions; Radar; Receivers; Vectors; Active radar; Eigenvalue distribution invariance; Matched filter; Multiple-channel detection; Passive coherent radar;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638391