Constant False Alarm Rate Detectors in Intensive Noise Environment Conditions

A different technique of CFAR detectors procedure for moving target detection in noise environment conditions with a Poisson distributed flow and Raleigh amplitude distribution is proposed in this paper. The expressions of the detection and false alarm probability are derived for a highly fluctuating Swerling II target. A comparative analysis of the performance of different radar detectors structures keeping constant false alarm rates is done. These are a CA CFAR (Cell Averaging Constant False Alarm Rate), an EXC CFAR (EXCision Constant False Alarm Rate), a CFAR BI (Constant False Alarm Rate with Binary Integration), an EXC CFAR BI (EXCision Constant False Alarm Rate with Binary Integration) and an API CFAR (Adaptive censoring Post detection Integration Constant False Alarm Rate). A method for losses estimation, which allows choosing of optimal detector parameters, is developed. The estimates are obtained of the effectiveness of CFAR detectors in noise environment conditions and they are compared to patterns, investigated by other authors. The results achieved can be successfully applied for radar target detection and in the existing communication network receivers, that use pulse signals.