Analysis and application of the excision CFAR detector

The presence of interfering signals in the sample set used by a cell-averaging CFAR detector can cause a drastic degradation in its performance. A detector that alleviates the problem by excising strong signals before the cell-averaging operation is proposed and analysed. This detector suffers almost no degradation in performance, in comparison with a conventional cell-averaging detector, when it operates in an environment of homogeneous noise such as thermal noise with the possible addition of wideb and jamming. The proposed CFAR detector can be used in both radar and communications receivers. The paper presents a mathematical analysis of the operation of the excision CFAR detector resulting in explicit formulas for probabilities of detection and false alarm. An application that includes a binary postdetection integrator for discrimination against randomly occurring pulse interferences is presented, and its performance is evaluated numerically. Procedures for the determination of the detector's parameters are discussed.

[1]  V. Gregers Hansen,et al.  Detection Performance of the Cell Averaging LOG/CFAR Receiver , 1972, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Robert N. McDonough,et al.  Detection of signals in noise , 1971 .

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

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

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

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

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

[8]  Anthony D. Whalen Chapter 6 – Detection of Known Signals , 1971 .

[9]  P.H. Wittke,et al.  Threshold Control for Automatic Detection in Radar Systems , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[10]  M. Weiss,et al.  Analysis of Some Modified Cell-Averaging CFAR Processors in Multiple-Target Situations , 1982, 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.