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Robust detection of known signals in asymmetric noise

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3 Author(s)

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.

Published in:

IEEE Transactions on Information Theory  (Volume:28 ,  Issue: 1 )