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Frequency Diverse Array MIMO Radar Adaptive Beamforming with Range-Dependent Interference Suppression in Target Localization

机译:频率各种阵列MIMO雷达自适应波束成形,目标定位范围依赖性干扰抑制

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摘要

Conventional multiple-input and multiple-output(MIMO) radar is a flexible technique which enjoys the advantagesof phased-array radar without sacrificing its mainadvantages. However, due to its range-independent directivity,MIMO radar cannot mitigate nondesirable range-dependentinterferences. In this paper, we propose a range-dependentinterference suppression approach via frequency diverse array(FDA) MIMO radar, which offers a beamforming-based solutionto suppress range-dependent interferences and thus yields muchbetter DOA estimation performance than conventional MIMOradar. More importantly, the interferences located at the sameangle but different ranges can be effectively suppressed by therange-dependent beamforming, which cannot be achieved byconventional MIMO radar. The beamforming performance ascompared to conventional MIMO radar is examined by analyzingthe signal-to-interference-plus-noise ratio (SINR). The Cramér-Rao lower bound (CRLB) is also derived. Numerical resultsshow that the proposed method can efficiently suppress range-dependentinterferences and identify range-dependent targets. It is particularly useful in suppressing the undesired stronginterferences with equal angle of the desired targets.
机译:传统的多输入和多输出(MIMO)雷达是一种灵活的技术,它在不牺牲其主角的情况下,散向阵列雷达的优点。然而,由于其范围无关的方向性,MIMO雷达无法减轻不可思议的范围依赖性的干扰素。在本文中,我们通过频率各种阵列(FDA)MIMO雷达提出了一种范围依赖性干扰抑制方法,其提供基于波束形成的解决方案抑制范围依赖的干扰,从而产生比传统的MiuORADAR更多样化的DOA估计性能。更重要的是,位于SameAngle但不同范围的干扰可以通过Therange依赖的波束成形有效地抑制,这不能通过协聚MIMO雷达实现。通过分析信号到干扰 - 热噪声比(SINR)来检查截至传统MIMO雷达的波束形成性能。也衍生出Cramér-Rao下限(CRLB)。该方法的数值结果可以有效地抑制范围依赖性的干扰素并识别范围依赖性目标。特别适用于抑制具有相等的所需靶标的不期望的强的口气。

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