Robust detection of known signals in asymmetric noise

S. Kassam, G. Moustakides, Jung Shin
1982 IEEE Transactions on Information Theory  
The detection of signals in noise with possibly asymmetric probability density functions is considered. The noise density model allows a symmetric contaminated-nominal central part and an arbitrary tail behavior. For detection of known signals, the robust nonlinear-correlator (NC) detector is obtained based on detector efficacy as performance criterion. The robust M-detector structure for constant-signal detection is also explicitly obtained.
doi:10.1109/tit.1982.1056447 fatcat:7xfbsdvqsrhftkengi7fmxfl7i