An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
PN code acquisition using nonparametric detectors in DS/CDMA systems
Signal Processing
The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic
IEEE Transactions on Signal Processing
Nonparametric multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
On nonparametric signal detectors
IEEE Transactions on Information Theory
Detection performance of some nonparametric rank tests and an application to radar
IEEE Transactions on Information Theory
Signal detection in Gaussian noise of unknown level: An invariance application
IEEE Transactions on Information Theory
A bibliography on nonparametric detection
IEEE Transactions on Information Theory
Signed-rank nonparametric multiuser detection in non-Gaussian channels
IEEE Transactions on Information Theory
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In this paper, the authors provide a methodology to design nonparametric permutation tests and, in particular, nonparametric rank tests for applications in detection. In the first part of the paper, the authors develop the optimization theory of both permutation and rank tests in the Neyman-Pearson sense; in the second part of the paper, they carry out a comparative performance analysis of the permutation and rank tests (detectors) against the parametric ones in radar applications. First, a brief review of some contributions on nonparametric tests is realized. Then, the optimum permutation and rank tests are derived. Finally, a performance analysis is realized by Monte-Carlo simulations for the corresponding detectors, and the results are shown in curves of detection probability versus signal-to-noise ratio.