Abstract
We consider the discrete-time detection of a known time-varying deterministic signal in white noise, where the univariate noise density is known perfectly only on an interval about the origin. We present a method to enhance the asymptotic performance of the detector by exploiting this knowledge, and at the same time preserve robustness properties of the detector to the remaining inexact knowledge of the univariate noise density. We then provide examples to show that improved performance is indeed obtained.
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This research was supported by the Air Force Office of Scientific Research under Grant AFOSR-82-0033.
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Halverson, D.R. Asymptotically robust detection in partially contaminated noise. Circuits Systems and Signal Process 3, 493–503 (1984). https://doi.org/10.1007/BF01599173
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DOI: https://doi.org/10.1007/BF01599173