Performance of max-mean level detector with and without censoring

The maximum-mean-level detector (MX-MLD) is a constant false-alarm rate (CFAR) detector designed to eliminate the excessively high false-alarm rate seen with the MLD at the edges of contiguous clutter regions. The concomitant high target suppression effect led M. Weiss (1982) to suggest a censored modification. The authors analyze the detection performance of the maximum-censored-mean-level detector (MX-CMLD). A homogeneous Swerling II target and clutter environment are assumed, and only single-pulse detection is considered. Analytic results apply equally to the MX-MLD and extend previous analysis. Simulation results are presented that demonstrate the qualitative effects of various CFAR detectors in nonhomogeneous clutter environments. >

[1]  M. Weiss,et al.  Analysis of Some Modified Cell-Averaging CFAR Processors in Multiple-Target Situations , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Louis L. Scharf,et al.  Signal detection in Gaussian noise of unknown level: An invariance application , 1971, IEEE Trans. Inf. Theory.

[3]  H. M. Finn,et al.  Adaptive detection mode with threshold control as a function of spatially sampled clutter level estimates , 1968 .

[4]  Harold Finn,et al.  A CFAR Design for a Window Spanning Two Clutter Fields , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[5]  V. Hansen,et al.  Detectability Loss Due to "Greatest Of" Selection in a Cell-Averaging CFAR , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[6]  V. G. Hansen,et al.  Constant false alarm rate processing in search radars , 1973 .

[7]  Philip G. Grieve.  The optimum constant false alarm probability detector for relatively coherent multichannel signals in Gaussian noise of unknown power , 1977, IEEE Trans. Inf. Theory.

[8]  James Ritcey,et al.  Performance Analysis of the Censored Mean-Level Detector , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Johanna Moore,et al.  Comparison of two CFAR methods used with square law detection of Swerling I targets , 1980 .

[10]  R. Mitchell,et al.  Recursive Methods for Computing Detection Probabilities , 1971, IEEE Transactions on Aerospace and Electronic Systems.

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

[12]  G. Trunk.  Range Resolution of Targets Using Automatic Detectors , 1978, IEEE Transactions on Aerospace and Electronic Systems.

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

[14]  B. O. Steenson,et al.  Detection Performance of a Mean-Level Threshold , 1968, IEEE Transactions on Aerospace and Electronic Systems.

[15]  N. Temme.  Uniform asymptotic expansions of the incomplete gamma functions and the incomplete beta function , 1975 .

[16]  James Ritcey,et al.  Evaluating Radar Detection Probabilities by Steepest Descent Integration , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[17]  George M. Dillard,et al.  Mean-Level Detection of Nonfluctuating Signals , 1974, IEEE Transactions on Aerospace and Electronic Systems.