Detection of stochastic signals in narrowband non-Gaussian noise
- 1 January 1983
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A general receiver is developed for the optimum detection of stochastic signals in narrowband non-Gaussian noise. Exploiting the Middleton Class A noise model, we obtain a generalization of the estimator-correlator structure: the likelihood ratio processor involves a series of estimator-correlators which then get exponentiated, weighted and summed. It appears that for most situations of interest the series involves just a few terms; as indicated by preliminary examples, three or four terms generally suffice to closely approximate the optimum receiver.Keywords
This publication has 6 references indexed in Scilit:
- Procedures for Determining the Parameters of the First-Order Canonical Models of Class A and Class B Electromagnetic Interference [10]IEEE Transactions on Electromagnetic Compatibility, 1979
- Locally optimum detection of discrete-time stochastic signals in non-Gaussian noiseThe Journal of the Acoustical Society of America, 1978
- Optimum Reception in an Impulsive Interference Environment--Part I: Coherent DetectionIEEE Transactions on Communications, 1977
- The estimator-correlator for discrete-time problemsIEEE Transactions on Information Theory, 1977
- Conditional mean estimates and Bayesian hypothesis testing (Corresp.)IEEE Transactions on Information Theory, 1975
- Statistical-Physical Models of Urban Radio-Noise Environments - Part I: FoundationsIEEE Transactions on Electromagnetic Compatibility, 1972