Abstract
The precession feature of space target provides an effective approach for target recognition. However, with the requirements that target detection and tracking to be completed successfully before the processing of precession features extraction can be implemented, the existing methods demand radar resources allocation for target detection, tracking and feature extraction, respectively, thus reducing the radar efficiency. In this paper, by establishing a feedback loop between precession feature extraction and TBD (track before detect) of target, a cognitive feature extracting method is proposed. And the sliding-type scatterer model is used for describing rotationally symmetric target. With the proposed method, the precession feature parameters of target can be extracted concurrent to implementing the target detecting and tracking. Simulation results show the effectiveness of the proposed method.
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