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One-Step-Ahead Control of Waveform and Detection Threshold for Optimal Target Tracking in Clutter  

Shin Han-Seop (Space Center, Korea Aerospace Research Institute)
Hong Sun-Mog (School of Electrical Engineering & Computer Science, Kyungpook National University)
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Abstract
In this paper, we consider one-step-ahead control of waveform parameters (pulse amplitudes and lengths, and FM sweep rate) as well as detection thresholds for optimal range and range-rate tracking in clutter. The optimal control of the combined parameter set minimizes a tracking performance index under a set of parameter constraints. The performance index includes the probability of track loss and a function of estimation error covariances. The track loss probability and the error covariance are predicted using a hybrid conditional average algorithm The effect of the false alarms and clutter interference is taken into account in the prediction. Tracking performance of the one-step-ahead control is presented for several examples and compared with a control strategy heuristically derived from a finite horizon optimization.
Keywords
Optimal waveform selection; Tracking in clutter;
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