Cognitive target tracking using FDA radar for increased SINR performance

Different from a phased-array, frequency diverse array (FDA) offers a range-dependent beampattern. By jointly utilizing the advantages of cognitive radar in environment sensing and FDA with range-dependent transmit beampattern, this paper proposes a cognitive target tracking scheme using FDA radar for increased output signal-to-interferences plus noise ratio (SINR) performance due to its range-dependent interference suppression capability. The proposed method can avoid undesired strong interferences and focus to the desired targets by optimizing the frequency increment via adaptive target tracking to maximize the output SINR performance. Simulation results verify that the method yields much better SINR and significantly suppresses range-dependent interferences, which is beneficial for target detection, localization and tracking applications.

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