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We present a cognitive radar testbed with an adaptive X-band radar sensor and a controller with a perception-action cycle to optimize waveform and processing parameter in real-time. The sensor hardware is described and the processing and optimization algorithms are explained. In the second part of this article, we present results from the outdoor experiments in various environments and with several optimization goals, such as tracking accuracy optimization, bandwidth usage minimization, time effort minimization, and jamming mitigation.
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Oechslin et al. (2019) studied this question.
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