Title :
A nonlinear optimum-detection problem
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
Abstract :
An approximate likelihood ratio is derived for detecting a signal in linear stationary and quadratic Gaussian noise. The novel aspect is the inclusion of the quadratic noise. Such a problem can arise in radar when secondary as well as primary reflection by clutter takes place. Monte Carlo simulation using simple examples is run to illustrate the effects of the nonlinear processors on detection performance
Keywords :
radar clutter; radar theory; signal detection; Monte Carlo simulation; approximate likelihood ratio; clutter; linear stationary noise; nonlinear optimum-detection problem; primary reflection; quadratic Gaussian noise; radar; secondary reflection; signal detection; Acoustic reflection; Additive noise; Background noise; Clutter; Gaussian noise; Noise level; Radar detection; Signal detection; Signal processing; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.267018
