Title :
Score functions for locally subptimum and locally suboptimum rank detection in alpha-stable interference
Author :
Brown, Christopher L.
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
fDate :
6/23/1905 12:00:00 AM
Abstract :
Approximations to the locally optimum and locally optimum rank score functions for the detection of a known signal in additive symmetric α stable interference have been shown to introduce only slight performance loss. Here, the location of the apices of the nonlinearities is shown to follow an approximate linear relationship with the characteristic exponent, α, of the interference. The distribution of the corresponding test statistics is also found to be approximately Gaussian. These findings make implementation of the detectors more feasible and remove some expensive computational burden
Keywords :
function approximation; interference (signal); optimisation; signal detection; statistical analysis; additive symmetric α stable interference; alpha-stable interference; approximate Gaussian statistics; characteristic exponent; locally optimum rank detection; locally optimum rank score functions; locally optimum score functions; locally suboptimum detection; locally suboptimum rank detection; nonlinearities; test statistics distribution; Detectors; Interference; Linear approximation; Matched filters; Performance loss; Random processes; Signal detection; Statistical analysis; Statistical distributions; Testing;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955221