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Improvement of radar detection by doppler pattern matching

Çelebi, Duygu
In this thesis, improvement of Cell Averaging Constant False Alarm Rate (CA CFAR) radar processors is studied. A new improvement method is proposed that will reduce probability of false alarm while keeping probability of detection at good values. This method makes use of Doppler spreading patterns that appear after Doppler processing. Therefore this method is called Doppler Pattern Matching (DPM). Performance of the algorithm has been investigated by Monte Carlo simulations. In order to evaluate the performance, improvement factor is calculated which is the ratio of the probability of false alarm of original detector to the false alarm of improved detector. It is observed that improvement factor changes depending on the simulation scenario. Almost in every case, good improvement factor can be obtained. Moreover, in most of the cases, there has been no reduction in probability of detection after DPM is applied to CA CFAR detector.