Detection in multiple channels having unequal noise power
Songsri Sirianunpiboon, Stephen D. Howard, Douglas Cochran · 2016
A Bayesian detector is formulated for the problem of detecting a signal of known rank using data collected at multiple sensors. The noise on each sensor channel is white and Gaussian, but its variance is unknown and may be different from channel to channel. A low-SNR assumption that enables approximation of one of the marginalization integrals in the likelihood ratio, yields a tractable approximate Bayesian detector for this regime. Performance of this detector is evaluated and compared to other recently introduced detectors.