Experimental demonstration of cognitive radar for target localization under strong interference

Xia Li, Zhen Hu, R. Qiu, M. Wicks
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引用次数: 5

Abstract

One of the major objectives of cognitive radar is to form a dynamic closed feedback loop to adapt the spectrum of transmit waveforms to avoid certain interference. In this paper, we build an automatic closed-loop cognitive radar to support experimental study of the radar system in real-world situations. Convex optimization is applied to jointly design sounding waveforms and the matched filters with spectral power suppressed in arbitrary bands and with low correlation sidelobes as well. Target localization is demonstrated under strong interferences. Experimental results are provided to evaluate the performance of the cognitive radar system.
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强干扰下认知雷达目标定位的实验验证
认知雷达的主要目标之一是形成一个动态的闭环反馈回路,以适应发射波形的频谱,以避免某些干扰。在本文中,我们建立了一个自动闭环认知雷达,以支持雷达系统在实际情况下的实验研究。采用凸优化的方法,联合设计了任意波段抑制谱功率和低相关旁瓣的测深波形和匹配滤波器。在强干扰下证明了目标的定位。实验结果验证了该认知雷达系统的性能。
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