Title :
A computationally-efficient two-step implementation of the GLRT detector
Author :
Pulsone, Nicholas ; Zatman, Michael
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Abstract :
A new two-step implementation of the generalized likelihood ratio test (GLRT) is proposed. A disadvantage of the GLRT detector is that it is more computationally complex than the simple adaptive matched filter (AMF) detector. The two-step implementation of the GLRT significantly reduces the computational load with a negligible loss in detection performance
Keywords :
adaptive signal detection; computational complexity; filtering theory; matched filters; maximum likelihood detection; probability; radar detection; radar signal processing; GLRT detector; adaptive detection; adaptive matched filter detector; computational load reduction; computationally-efficient two-step implementation; detection performance; detection probability; generalized likelihood ratio test; radar signal processing; simulation results; Benchmark testing; Computational modeling; Detectors; Laboratories; Matched filters; Performance analysis; Performance loss; Radar detection; Signal to noise ratio; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756183
