Summary
The problem of adaptive CFAR regulation in a pulse-to-pulse partially Rayleigh correlated clutter is addressed. The clutter is modeled as a first-order Markov Gaussian process and its covariance matrix is assumed to be known. The theorem of residues is used to derive an exact expression for the probability of false alarm Pfa for the mean level (ML) detector. We show that it depends on the degree f pulse-to-pulse correlation of the clutter samples.
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References
Barnard T J, Weiner D D (1996) Non-Gaussian Clutter Modeling with Generalized Spherically Invariant Random Vectors IEEE Transactions On Signal Processing 44:2384–2390
Farina A, Gini F, Greco M, Verrazzani L (1997) High Resolution Sea Clutter Data: A Statistical Analysis of Recorded Live Data IEE Proceedings-F Vol. 144 3:121–130
Nohara T, Haykin S (1991) Canadian East Coast radar trials and the Kdistribution IEE Proceedings-F Vol 138 2:80–88
Farina A, Russo A (1986) Radar Detection of Correlated Targets in Clutter IEEE Transactions on Aerospace and Electrical Systems Vol 22 5:513–532
Himonas S D, Barkat M (1990) Adaptive CFAR Detection in Partially Correlated Clutter IEE Proceedings-F Vol 137 5:387–394
Al Hussaini E K, El Mashade M B (1996) Performance of Cell-averaging and Order-statistic CFAR Detectors Processing Correlated Sweeps for Multiple Interfering Targets Signal Processing 49:111–118
El Mashade M B(2000) Detection Analysis of CA Family of Adaptive Radar Schemes Processing M-correlated Sweeps in Homogeneous and Multiple-target Environments Signal Processing 80:787–801
Ritcey J A (1985) Calculating Radar Detection Probabilities by Contour Integration. California PhD dissertation, University of California, San Diego
Hou Xiu-Ying et al. (1987) Direct Evaluation of Radar Detection Probabilities IEEE Transactions on Aerospace and Electrical Systems Vol. AES-23 4:418–423
Barkat M (2005) Signal Detection and Estimation. In: Artech House (Second Edition) Boston
Laroussi T, Barkat M (2007) Adaptive ML-CFAR Detection for Correlated Chi-square Targets of all Fuctuation Models in Correlated Clutter and Multiple Target Situations ISSPA Sharjah United Arab Emirats
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Laroussi, T., Barkat, M. (2008). An Efficient Closed Form Approach to the Evaluation of the Probability of False Alarm of the ML-CFAR Detector in a Pulse-to-Pulse Correlated Clutter. In: Damiani, E., Yétongnon, K., Schelkens, P., Dipanda, A., Legrand, L., Chbeir, R. (eds) Signal Processing for Image Enhancement and Multimedia Processing. Multimedia Systems and Applications Series, vol 31. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72500-0_3
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DOI: https://doi.org/10.1007/978-0-387-72500-0_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-72499-7
Online ISBN: 978-0-387-72500-0
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