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Sliding window detectors are non-coherent decision processes, designed in anattempt to control the probability of false alarm, for application to radartarget detection. In earlier low resolution radar systems it was possible tospecify such detectors quite easily, due to the Gaussian nature of clutterreturns, in an X-band maritime surveillance radar context. As radar resolutionimproved with corresponding developments in modern technology, it becamedifficult to construct sliding window detectors with the constant false alarmrate property. However, over the last eight years this situation has beenrectified, due to improved understanding of the way in which such detectorsshould be constructed. This paper examines the Bayesian approach to theconstruction of such detectors. In particular, the design of sliding windowdetectors, with the constant false alarm rate property, with the capacity tomanage interfering targets, will be outlined.

Compensating for Interference in Sliding Window Detection Processes using a Bayesian Paradigm