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Performance of Distributed CFAR Processors in Pearson Distributed Clutter
EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 021825 (2006)
This paper deals with the distributed constant false alarm rate (CFAR) radar detection of targets embedded in heavy-tailed Pearson distributed clutter. In particular, we extend the results obtained for the cell averaging (CA), order statistics (OS), and censored mean level CMLD CFAR processors operating in positive alpha-stable (P&S) random variables to more general situations, specifically to the presence of interfering targets and distributed CFAR detectors. The receiver operating characteristics of the greatest of (GO) and the smallest of (SO) CFAR processors are also determined. The performance characteristics of distributed systems are presented and compared in both homogeneous and in presence of interfering targets. We demonstrate, via simulation results, that the distributed systems when the clutter is modelled as positive alpha-stable distribution offer robustness properties against multiple target situations especially when using the "OR" fusion rule.
Gini F, Lombardini F, Verrazzani L: Coverage area analysis for decentralized detection in weibull clutter. IEEE Transactions on Aerospace and Electronic Systems 1999,35(2):437-444. 10.1109/7.766927
Srinivasan R: Robust radar detection using ensemble CFAR processing. IEE Proceedings: Radar, Sonar and Navigation 2000,147(6):291-296. 10.1049/ip-rsn:20000648
Rohling H: Radar CFAR thresholding in clutter and multiple target situations. IEEE Transactions on Aerospace and Electronic Systems 1983,19(4):608-621.
Barkat M, Varshney PK: Decentralized CFAR signal detection. IEEE Transactions on Aerospace and Electronic Systems 1989,25(2):141-149. 10.1109/7.18676
Elias-Fuste AR, Broquetas-Ibars A, Antequera J, Yuste J: CFAR data fusion center with inhomogeneous receivers. IEEE Transactions on Aerospace and Electronic Systems 1992,28(1):276-285. 10.1109/7.135453
Tsakalides P, Raspanti R, Nikias CL: Angle/Doppler estimation in heavy-tailed clutter backgrounds. IEEE Transactions on Aerospace and Electronic Systems 1999,35(2):419-436. 10.1109/7.766926
Pierce RD: Application of the positive alpha-stable distribution. Proceedings of IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97), July 1997, Banff, Alberta, Canada 420–424.
Tsakalides P, Nikias CL: Robust space-time adaptive processing (STAP) in non-Gaussian clutter environments. IEE Proceedings: Radar, Sonar and Navigation 1999,146(2):84-93. 10.1049/ip-rsn:19990233
Amiri MV, Amindavar H: A new maximum a posteriori CFAR based on stability in sea clutter state-space model. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '05), March 2005, Philadelphia, Pa, USA 5: 601–604.
Nikias CL, Shao M: Signal Processing with Alpha-Stable Distributions and Applications. John Wiley & Sons, New York, NY, USA; 1995.
Tsakalides P, Trinic F, Nikias CL: Performance assessment of CFAR processors in Pearson-distributed clutter. IEEE Transactions on Aerospace and Electronic Systems 2000,36(4):1377-1386. 10.1109/7.892685
Papoulis A: Probability Random Variables and Stochastic Processes. 3rd edition. McGraw-Hill, New York, NY, USA; 1991.
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Messali, Z., Soltani, F. Performance of Distributed CFAR Processors in Pearson Distributed Clutter. EURASIP J. Adv. Signal Process. 2007, 021825 (2006). https://doi.org/10.1155/2007/21825
- Information Technology
- Receiver Operating Characteristic
- Operating Characteristic
- Cell Average