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Content Provider | IEEE Xplore Digital Library |
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Author | Conte, E. de Maio, A. Galdi, C. |
Copyright Year | 1999 |
Description | Author affiliation: Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Naples Univ., Italy (Conte, E.) |
Abstract | We dealt with the detection of signal in presence of compound-Gaussian noise. First of all, we derived the optimum Neyman-Pearson detector for a known signal to establish the limiting performance. Since the NP detector does not implement a uniformly most powerful (UMP) test, we adopt an alternative approach, namely the generalized likelihood ratio test (GLRT): the result is a completely canonical structure. Nevertheless since the implementation of such a processor requires averaging infinitely many projections of the received waveform, we also presented a sub-optimum scheme, retaining most of the characteristics, especially the CFARness, of the ideal detector. The analysis of the above detectors shows that both of them largely outperform the conventional square-law receiver and that the sub-optimum processor is practically equivalent to the GLRT receiver. |
Starting Page | 199 |
Ending Page | 202 |
File Size | 372617 |
Page Count | 4 |
File Format | |
ISBN | 1864354518 |
DOI | 10.1109/ISSPA.1999.818147 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1999-08-22 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Signal detection Testing Detectors Signal processing Acoustic noise Electromagnetic interference Working environment noise Electromagnetic scattering Acoustic scattering Random processes |
Content Type | Text |
Resource Type | Article |
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