Title :
Adaptive coherence estimation for radar signal processing
Author :
McWhorter, L.T. ; Scharf, L.L. ; Griffiths, L.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
Abstract :
In this paper we derive the probability density functions of the adaptive coherence estimator (ACE) described previously by Scharf and McWhorter (1996). The ACE statistic can also be considered an adaptive CFAR matched sub-space detector (MSD). It is this interpretation which is particularly useful in radar and signal processing. We conclude this paper by applying the adaptive CFAR MSD to data recorded from the Mountaintop radar. These experimental results indicate that, in a channel with time varying gain, the adaptive CFAR MSD has better detection performance than those detectors which are not invariant to this type of scaling.
Keywords :
adaptive estimation; adaptive radar; adaptive signal processing; probability; radar detection; radar signal processing; radar theory; time-varying channels; ACE statistic; Mountaintop radar; adaptive CFAR matched sub-space detector; adaptive coherence estimation; detection performance; probability density functions; radar signal processing; scaling; time varying gain; Adaptive signal processing; Contracts; Covariance matrix; Detectors; Performance gain; Probability; Radar detection; Radar signal processing; Random variables; Statistics;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.601076