Referenced Items are not available for this document.
A new fuzzy concept for postdetection signal integration is presented. The fuzzy integrator is developed as a simple extension of the classic binary integrator by replacing the crisp binary threshold, which quantizes the observed data, with a fuzzy threshold. The performance of the fuzzy integrator is illustrated for detection of a simple nonfluctuating signal in Gaussian noise and is shown to exceed that of the binary integrator, approaching that of the optimal detector with Neyman-Pearson decision rule. Furthermore, the fuzzy integrator has the characteristic that the false alarm rate can be tuned using a single threshold, more easily than that of the dual-threshold binary integrator
Published in:
Aerospace and Electronic Systems, IEEE Transactions on
(Volume:38
,
Issue:
1
)
Date of Publication: Jan 2002
- Page(s):
- 346 - 351
- ISSN :
- 0018-9251
- INSPEC Accession Number:
- 7234772
- Digital Object Identifier :
- 10.1109/7.993258
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2002
- Issue Date :
- Jan 2002
- Sponsored by :
- Aerospace & Electronic Systems Society
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