Title :
Detectability of signals in Laplace noise
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., La Jolla, CA
fDate :
3/1/1989 12:00:00 AM
Abstract :
Closed-form expressions for the false-alarm and detection probabilities attained by the optimum and the linear detectors of a positive signal in n independent samples of noise having a bilateral exponential or Laplace distribution require lengthy computation when n is large, and those for the optimum detector suffer from round-off error because their terms alternate in sign. It is shown how the method of saddlepoint integration can be conveniently applied to compute these probabilities, and numerical comparisons of the accuracies of the methods are presented. The relative efficiency of the two detectors is calculated as a function of n and found to approach the asymptotic value of 2 very slowly
Keywords :
Laplace transforms; integration; probability; signal detection; Laplace distribution; Laplace noise; bilateral exponential; detection probabilities; linear detectors; optimum detector; positive signal; relative efficiency; round-off error; saddlepoint integration; Closed-form solution; Density functional theory; Detectors; Distributed computing; Probability density function; Probability distribution; Roundoff errors; Signal analysis; Signal detection; Statistical distributions; Statistics;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on