Title :
Adaptive sidelobe blanker: a novel method of performance evaluation and threshold setting in the presence of inhomogeneous clutter
Author :
Kreithen, Daniel E. ; Pearson, C. Frederick ; Richmond, Christ D.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Abstract :
The adaptive sidelobe blanker (ASB) detection algorithm consists of a cascade of two detectors: an adaptive matched filter (AMF) followed by an adaptive coherence estimator (ACE). The ASB has been shown to be effective at mitigating false alarms due to the presence of clutter inhomogeneities. This paper addresses two issues: how to choose thresholds for the component AMF and ACE detection algorithms, and how to predict the performance of the ASB in the presence of a given amount of clutter inhomogeneity, for which no general analytic closed-form solution exists. Two proposed methods of threshold choice aid the system designer in quantifying the losses that are incurred by use of the ASB.
Keywords :
adaptive estimation; adaptive filters; adaptive signal detection; coherence; interference suppression; matched filters; radar clutter; radar detection; radar signal processing; ACE; AMF; ASB detection algorithm; adaptive coherence estimator; adaptive matched filter; adaptive sidelobe blanker; false alarms; inhomogeneous clutter; performance evaluation; radar; system design; threshold setting; Algorithm design and analysis; Analytical models; Closed-form solution; Detection algorithms; Detectors; Laboratories; Matched filters; Monte Carlo methods; Performance analysis; Radar clutter;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750919
