论文部分内容阅读
The discrete-time detection of narrowband coherent and incoherent pulse train signals in nar-rowband non-Gaussian noise is investigated.The locally optimum(LO)detector structures aredeveloped and found to be in the form of incorporating a locally optimum zero-memory nonlinear-ity(LOZNL)into the Neyman-Pearson optimum detector for narrowband Gaussian noise.Manypractical detectors belong in the same class of structures with the LO detector.The expressions forthe efficacies of the detectors are derived.In particular,Weibull and log-normal noise models areconsidered.The LOZNL’s,and the efficacies of the detectors are given,and numerical results aregraphically presented.It is shown that,in the sense of the Pitman asymptotic relative efficiency(ARE),the asymptotic performance of many detectors whose nonlinearity can more effectively suppressthe tail of the noise envelope distribution is apparently better than that of the Neyman-Pearson opti-mum detector for narrowband Gaussian noise.
The discrete-time detection of narrowband coherent and incoherent pulse train signals in nar-rowband non-Gaussian noise is investigated. The locally optimum (LO) detector structures aredeveloped and found to be in the form of incorporated a locally optimum zero-memory nonlinear- ity (LOZNL) into the Neyman-Pearson optimum detector for narrowband Gaussian noise. Major practical detector belong in the same class of structures with the LO detector. The expressions forthe efficacies of the detectors are derived.In particular, Weibull and log-normal noise models areconsidered.The LOZNL’s, and the efficacies of the detectors are given, and numerical results aregraphically presented. It is shown in that sense of the Pitman asymptotic relative efficiency (ARE), the asymptotic performance of many detection that nonlinearity can more effectively suppressthe tail of the noise envelope distribution is apparently better than that of the Neyman-Pearson opti-mum detector for narrowband Gaussian noise.