Improvement of the radar target detection probability for non-homogeneous environments in the detection window
Keywords:
Detection probability, Constant false alarm rate, Non-homogeneous environments, Cell-averaging, Ordered statisticsAbstract
Because of the complex nature of the noise in the detection window, limiting the increase of constant false alarm rate (CFAR) and improving the radar target detection probability for non-homogeneous environments is still not finished and the problem of many solutions. In the article, the authors propose a detection algorithm “Cell-coefficientAveraging” to limit the increase of the target false alarm constant, and improve radar target detection. The proposed algorithm is based on the principle Cell-Averaging CFAR (CA-CFAR) detector combined with the noise censorship procedure. The advantage of this algorithm is to reduce the computational requirement and target detection time delay. The survey results of detection probability and false alarm target probability demonstrate the benefits of the proposed algorithm in terms of power level conversion and noise distribution changes in the detection window. The survey method was carried out according to the Monte Carlo statistical method.
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