Optimal CFAR detection in Weibull clutter
Abstract
Optimal, in the maximum likelihood sense, constant false-alarm rate (CFAR) detection for Weibull clutter statistics, is investigated. The proposed OW (optimal Weibull) estimator is proved to be an asymptotically efficient estimator of the mean power of the Weibull clutter. Theoretical analysis of the OW-CFAR detector is provided, while detection performance analysis is carried out using the Monte Carlo simulation method. The operation of the median and morphological (MEMO)-CFAR detector in Weibull clutter statistics is also explained. It performs almost optimally in uniform clutter and, simultaneously, it is robust in multitarget situations. The performance of the proposed OW-CFAR detector in uniform Weibull clutter is used as a yardstick in the analysis of the MEMO cell-averager (CA) and ordered statistic (OS)-CFAR detectors. Nonfluctuating and fluctuating (Swerling II) targets are considered in detection analysis. The performance of the detectors is also examined at clutter edges.
- Publication:
-
IEEE Transactions on Aerospace Electronic Systems
- Pub Date:
- January 1995
- DOI:
- 10.1109/7.366292
- Bibcode:
- 1995ITAES..31...52A
- Keywords:
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- Clutter;
- Mathematical Models;
- Maximum Likelihood Estimates;
- Monte Carlo Method;
- Radar Receivers;
- Radar Targets;
- Signal Detection;
- Statistical Analysis;
- Weibull Density Functions;
- Computerized Simulation;
- Edge Detection;
- False Alarms;
- Prediction Analysis Techniques;
- Reliability Analysis;
- Communications and Radar