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Bayesian Processors of Radar Signals for the Skyguard Radar System of the Ecuadorian Army

This paper talks about the implementation of an advanced Bayesian digital signal processor applied on the Skyguard Ecuadorians army radar. This new auto-regressive processor uses adaptive filters for clutter cancelation, allowing its implementation in general purpose hardware. The proposed processor is tested both in a simulated environment and using real signals obtained from the Skyguard Radar. Using a signal-to-clutter rate lower than 0 dB with a probability of detection higher than 90% the Receiver Operating characteristic Curves for Moving Target Indication, Moving Target Detection and the processor proposed here were obtained. The proposed auto-regressive processor presents a gain of 13 dB compared to the Moving Target Indication processor, and a performance similar to the Moving Target Detection processor with a significant computational cost reduction.