DocumentCode :
353547
Title :
Locally optimum and rank-based known signal detection in correlated alpha-stable interference
Author :
Brown, Christopher L. ; Zoubir, Abdelhak M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
53
Abstract :
The problem of detecting known signals in the presence of correlated interference with symmetric alpha-stable excitation is considered. An estimation procedure for the signal strength is devised, based on the minimum dispersion criterion, then blind channel identification is performed. Several detection schemes are presented based on locally optimum (LO) and locally optimum rank (LOR) procedures, as well as some more computationally efficient suboptimal tests. The approximate distributions of the corresponding test statistics are derived. Simulation results indicate the levels of significance are maintained and all detectors achieve similar detection rates. The conclusion is drawn that the LOR and the suboptimal tests are able to achieve near locally optimal performance but with a far lighter computational burden
Keywords :
approximation theory; correlation methods; interference (signal); optimisation; parameter estimation; signal detection; stability; statistical analysis; approximate distributions; blind channel identification; computationally efficient suboptimal tests; correlated alpha-stable interference; detection rates; estimation procedure; locally optimal performance; locally optimum procedure; locally optimum rank procedure; locally optimum signal detection; minimum dispersion criterion; rank-based known signal detection; signal strength; simulation results; symmetric alpha-stable excitation; test statistics; Australia; Computational modeling; Interference; Parameter estimation; Signal detection; Signal processing; Statistical analysis; Statistical distributions; Telecommunication computing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1520-6149
Print_ISBN :
0-7803-6293-4
Type :
conf
DOI :
10.1109/ICASSP.2000.861861
Filename :
861861
Link To Document :
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