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A class of memoryless robust detectors in dependent noise

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2 Author(s)
J. Cheung ; Dept. of Electr. Eng., New York Inst. of Technol., NY, USA ; L. Kurz

A new general approach to the formulation of a detector in non-Gaussian noise satisfying the strong mixing condition is introduced. The only statistical knowledge required for the optimal design is a set of parameters which can be estimated from data and recursively updated. This eliminates the requirement that exact distributions be known and leads naturally to efficient adaptive detectors

Published in:

IEEE Transactions on Signal Processing  (Volume:42 ,  Issue: 5 )