Performance analysis of order-statistic CFAR detectors in time diversity systems for partially correlated chi-square targets and multiple target situations: A comparison

In radar systems, detection performance is always related to target models and background environments. In "time diversity systems", the assumed Swerling complete correlation (slow fluctuation) and complete decorrelation (fast fluctuation) target models may not predict the actual system performance when the target returns are partially correlated. The probability of detection is shown to be sensitive to the degree of correlation among the received pulses. In this paper, we derive exact expressions for the probability of false alarm (Pfa) and the probability of detection (Pd) of a pulse-to-pulse partially correlated target with 2K degrees of freedom in a pulse-to-pulse completely decorrelated thermal noise for the order statistics constant false alarm rate (OS-CFAR) detector and the censored mean level CFAR (CMLD-CFAR). The complete analysis is carried out for the "non-conventional time diversity system" (NCTDS) and multiple target situations. The obtained results are compared with the detection performance of the "conventional time diversity system" (CTDS).

[1]  Hwang-Soo Lee,et al.  Detection analysis of a generalized order statistics CFAR detector for a correlated Rayleigh target , 1995, Signal Process..

[2]  James A. Ritcey,et al.  Detection analysis of the MX-MLD with noncoherent integration , 1990 .

[3]  Dong-Seog Han,et al.  Detection performance of CFAR detectors based on order statistics for partially correlated chi-square targets , 2000, IEEE Trans. Aerosp. Electron. Syst..

[4]  S. D. Himonas,et al.  On CFAR detection of correlated radar signals , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[5]  S. D. Himonas,et al.  A distributed CFAR processor with data fusion for correlated targets in homogeneous clutter , 1990, IEEE International Conference on Radar.

[6]  Mohamed Bakry El-Mashade Detection analysis of linearly combined order statistic CFAR algorithms in nonhomogeneous background environments , 1998, Signal Process..

[8]  M. A. Weiner Detection probability for partially correlated chi-square targets , 1988 .

[9]  Hermann Rohling,et al.  Radar CFAR Thresholding in Clutter and Multiple Target Situations , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[10]  Irving Kanter Exact Detection Probability for Partially Correlated Rayleigh Targets , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Norihiko Morinaga,et al.  Direct Evaluation of Radar Detection Probabilities , 1987, IEEE Transactions on Aerospace and Electronic Systems.

[12]  T. S. Edrington The Amplitude Statistics of Aircraft Radar Echoes , 1965, IEEE Transactions on Military Electronics.

[13]  James A. Ritcey Calculating radar detection probabilities by contour integration , 1985 .

[14]  John Rickard,et al.  Adaptive Detection Algorithms for Multiple-Target Situations , 1977, IEEE Transactions on Aerospace and Electronic Systems.