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Automatic Target Recognition with Unknown Orientation and Adaptive Waveforms

Automatic Target Recognition with Unknown Orientation and Adaptive WaveformsThis paper demonstrates the closed-loop, adaptive-waveform approach applied to high-fidelity target model signatures generated by XFdtd. The radar equation is incorporated into the authors' models for use in the waveform design procedure. Because SNR varies with range, so do the optimized waveforms for target recognition. Constant-modulus waveform constraints are enforced, and a template-based classification strategy is used.