Some results on distributed nonparametric detection

Published 1 January 1990

J. Han, Pramod K. Varshney, Vincent C. Vannicola

DOI10.1109/cdc.1990.203266

Citations15

TL;DR

The application of nonparametric techniques in distributed detection systems is investigated and performance comparisons between nonparametry distributed detectors and some parametric distributed detectors are given.

Abstract

The application of nonparametric techniques in distributed detection systems is investigated. Sign detectors and dead-zone limiter detectors are considered. Generalized Gaussian distribution is used as the input statistics, which is a general class of symmetric unimodal univariate probability density functions. Performance comparisons between nonparametric distributed detectors and some parametric distributed detectors are given.>

Keywords

Computer ScienceDecision Sciences

Detection, Estimation, And Modulation Theory

5,977 Citations1968Harry L. Van Trees

Detection, estimation, and modulation theory, Detection, estimation and modulation theorists, اطلاعات رسانی کشاورزی .

IEEE Transactions on Aerospace and Electronic SystemsOptimal Data Fusion in Multiple Sensor Detection Systems

1,133 Citations1986Z. Chair, Pramod K. Varshney

This work presents an optimum data fusion structure given the detectors, where individual decisions are weighted according to the reliability of the detector and then a threshold comparison is performed to obtain the global decision.

IEEE Transactions on Aerospace and Electronic SystemsDetection with Distributed Sensors

855 Citations1981Robert R. Tenney, N. Sandell

The extension of classical detection theory to the case of distributed sensors is discussed, based on the theory of statistical hypothesis testing, and theoretical results concerning the form of the optimal decision rule are presented.

IEEE Transactions on Information TheoryDetectors for discrete-time signals in non-Gaussian noise

285 Citations1972James H. Miller, John B. Thomas

The structure and performance of a class of nonlinear detectors for discrete-time signals in additive white noise are investigated and three general classes of symmetric, unimodal, univariate probability density functions are introduced that are generalizations of the Gaussian, Cauchy, and beta distributions.

Journal of the Franklin InstituteOn polarity detection schemes with non-gaussian inputs

47 Citations1965M. Kanefsky, John B. Thomas

It is demonstrated in this paper that as the amplitude density of the noise processes become more sharply peaked and/or more asymmetrical, then the nonparametric detectors become more efficient than the Neyman-Pearson detectors designed for gaussian inputs.

The Journal of the Acoustical Society of AmericaDead-zone limiter: An application of conditional tests in nonparametric detection

26 Citations1976S.A. Kassam, John B. Thomas

IEEE Transactions on Aerospace and Electronic SystemsDistributed binary integration

20 Citations1993J. Han, Pramod K. Varshney +1 more

A distributed radar detection system that employs binary integration at each local detector is studied so as to maximize the detection probability under a given probability of false alarm constraint.