LOCAL DETECTION OF STOCHASTIC SIGNALS IN ADDITIVE NOISE.

H. Vincent Poor, J. B. Thomas

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

The problem of detecting zero-mean stochastic signals is considered for the local, or small-signal, case. Two general locally-optimum detector structures are derived, one based on an additive-noise model, the other based on a scale-change model. A third (suboptimal) scheme based on null-zone detection is proposed. Expressions are presented for the comparison of these detectors on the basis of asymptotic efficiencies relative to each other and relative to a power detector. Numerical results are given for the particular case of generalized Gaussian noise.

Original languageEnglish (US)
Pages432-440
Number of pages9
StatePublished - Jan 1 1976
EventProc Annu Allerton Conf Circuit Syst Theory 14th - Monticello, IL, USA
Duration: Sep 29 1976Oct 1 1976

Other

OtherProc Annu Allerton Conf Circuit Syst Theory 14th
CityMonticello, IL, USA
Period9/29/7610/1/76

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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