Title :
Modified GLRT signal detection algorithm
Author :
Ayoub, T.F. ; Haimovich, A.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
7/1/2000 12:00:00 AM
Abstract :
The problem of signal detection in unknown Gaussian interference utilizing an adaptive array is considered here. Two modified generalized likelihood ratio test (GLRT) detectors are suggested that improve on the performance of Kelly´s GLRT when the interference has low-rank property and the sample support for estimating the array covariance matrix is limited. Under these adverse conditions, the sample covariance matrix might be ill conditioned. This problem may be overcome either by diagonal loading of the covariance matrix or rank reduction of the data. The two modified GLRT detectors are referred to as loaded GLRT (L-GLRT) and reduced-rank GLRT (RR-GLRT), respectively. Expressions are developed for the probabilities of false alarm and detection. The advantage of the proposed detectors is illustrated by numerical examples
Keywords :
adaptive antenna arrays; adaptive signal detection; array signal processing; covariance matrices; interference (signal); probability; target tracking; Gaussian interference; adaptive array; array covariance matrix; diagonal loading; false alarm; interference; low-rank property; modified GLRT algorithm; modified generalized likelihood ratio test detectors; probabilities; rank reduction; reduced-rank GLRT; sample covariance matrix; signal detection; signal detection algorithm; Adaptive arrays; Background noise; Clutter; Covariance matrix; Detectors; Interference; Radar detection; Signal detection; Signal processing algorithms; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on