Title :
Locally optimal and suboptimal signal detection in transformation noise
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
fDate :
4/1/1996 12:00:00 AM
Abstract :
The efficacy of the optimal detector of a known vanishingly small signal in additive nonwhite transformation noise is compared with that of some eleven structurally simpler suboptimal detectors. Simulation is done under various signal choices, marginal densities, and correlation functions. The block g lo and the block combination g followed by R v -1 in the optimal detector structure are found to be important for good performance in constant and oscillating signals, respectively. Two suboptimal detectors with these block structures, D 8 and D 10, are found to perform well consistently in all situations considered. A structurally simple suboptimal detector D 2 is found to be good in the cases with less correlated noise.
Keywords :
correlation theory; digital simulation; noise; optimal systems; performance evaluation; signal detection; telecommunication computing; additive nonwhite transformation noise; asymptotic relative efficiency; constant signals; correlated noise; correlation functions; locally optimal signal detection; optimal detector structure; oscillating signals; simulation; suboptimal detectors; suboptimal signal detection; transformation noise; Additive noise; Autocorrelation; Background noise; Density functional theory; Detectors; Distribution functions; Gaussian noise; Gold; Matched filters; Noise generators; Polynomials; Signal detection; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on