DocumentCode
1246172
Title
Calculating the performance of linear and square-law detectors
Author
Bird, John S.
Author_Institution
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Volume
31
Issue
1
fYear
1995
Firstpage
39
Lastpage
51
Abstract
A method is presented for calculating the performance of linear and square-law detectors in detection schemes that employ noncoherent integration. The method consists of transforming the coherent characteristic function, which is usually easy to obtain to a noncoherent moment generating function describing the test statistic of a linear or square-law detector. The method provides a single mathematical framework for many signal models (both classical and new) and can be implemented using standard numerical routines. Although the method is not always optimum in terms of computing speed for specific classical models, its common approach for all signal models makes it very efficient in term of learning and implementation times. Classical results as well as results for an extended set of target models consisting of an arbitrary number of constant amplitude random phase returns are presented to demonstrate the technique. It is shown for the signal parameters considered that the performance difference between the linear and square-law detectors is relatively insignificant.<>
Keywords
Fourier series; Gaussian noise; Laplace transforms; integration; numerical analysis; probability; signal detection; statistical analysis; coherent characteristic function; extended set of target models; linear detectors; mathematical framework; noncoherent integration; noncoherent moment generating function; performance calculation; random phase returns; square-law detectors; standard numerical routines; test statistic; Birds; Character generation; Detectors; Electronics packaging; Gaussian noise; Laplace equations; Radar; Signal detection; Statistics; Testing;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.366290
Filename
366290
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