An adaptive threshold technique for the LR detector in K-clutter. Validation using IPIX radar

This paper tackles the detection of radar targets in presence of K-distributed clutter. A detection scheme composed by a preprocessing stage and a likelihood ratio test is proposed for adapting the detection threshold in order to maintain a constant false alarm probability. The conventional Cell-Averaging Constant False Alarm Rate (CA-CFAR) detector is considered as reference one. CA-CFAR technique uses output of the square law detector which cannot be the optimum one. The proposed detection scheme allows the use of a fixed threshold based on the finite number of clutter samples of the reference window. Considered detectors are evaluated with real data acquired by IPIX radar. Results prove that the designed adaptive threshold technique based on the likelihood ratio presents better detection capabilities than CA-CFAR, maintaining for both schemes a similar constant false alarm probability.

[1]  A. Hafez,et al.  A new fuzzy CFAR processor for radar MTD systems , 2012, 2012 IEEE Aerospace Conference.

[2]  Saleem A. Kassam,et al.  Analysis of CFAR processors in homogeneous background , 1988 .

[3]  D. Mata-Moya,et al.  MLP solutions for approximating the Average Likekihood Ratio detector in radar applications , 2008, 2008 IEEE Radar Conference.

[4]  Francisco López-Ferreras,et al.  Combining MLPs and RBFNNs to Detect Signals With Unknown Parameters , 2009, IEEE Transactions on Instrumentation and Measurement.

[5]  E. S. Pearson,et al.  On the Problem of the Most Efficient Tests of Statistical Hypotheses , 1933 .

[6]  L. P. Roy,et al.  Accurate K-distributed clutter model for scanning radar application , 2010 .

[7]  Tri-Tan Van Cao,et al.  Design of low-loss CFAR detectors , 2008, 2008 International Conference on Radar.

[8]  A. Farina,et al.  Design and experimental validation of knowledge-based constant false alarm rate detectors , 2007 .

[9]  F. Gini,et al.  X-band sea-clutter nonstationarity: influence of long waves , 2004, IEEE Journal of Oceanic Engineering.

[10]  Marco Lops,et al.  Modelling and simulation of non-Rayleigh radar clutter , 1991 .

[11]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[12]  K. Ward,et al.  Sea clutter: Scattering, the K distribution and radar performance , 2007 .

[13]  G. Galati,et al.  Optimum detection of moderately fluctuating radar targets , 1994 .

[14]  Peter Swerling,et al.  Probability of detection for fluctuating targets , 1960, IRE Trans. Inf. Theory.

[15]  Mohammad Reza Aref,et al.  Detection of coherent radar signals with unknown Doppler shift , 1996 .

[16]  Maurizio Naldi,et al.  Robustness of the likelihood ratio detector for moderately fluctuating radar targets , 1999 .

[17]  A. Maio,et al.  Statistical analysis of real clutter at different range resolutions , 2004, IEEE Transactions on Aerospace and Electronic Systems.