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Three-Dimensional Target Localization and Cramer-Rao Bound for Two-Dimensional OFDM-MIMO Radar

机译:二维OFDM-MIMO雷达的三维目标定位和Cramer-Rao界

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摘要

Target localization using a frequency diversity multiple-input multiple-output (MIMO) system is one of the hottest research directions in the radar society. In this paper, three-dimensional (3D) target localization is considered for two-dimensional MIMO radar with orthogonal frequency division multiplexing linear frequency modulated (OFDM-LFM) waveforms. To realize joint estimation for range and angle in azimuth and elevation, the range-angle-dependent beam pattern with high range resolution is produced by the OFDM-LFM wave form. Then, the 3D target localization proposal is presented and the corresponding closed-form expressions of Cramer-Rao bound (CRB) are derived. Furthermore, for mitigating the coupling of angle and range and further improving the estimation precision, a CRB optimization method is proposed. Different from the existing methods of FDA-based radar, the proposed method can provide higher range estimation because of multiple transmitted frequency bands. Numerical simulation results are provided to demonstrate the effectiveness of the proposed approach and its improved performance of target localization.
机译:使用频率分集多输入多输出(MIMO)系统进行目标定位是雷达社会最热门的研究方向之一。在本文中,考虑了具有正交频分复用线性调频(OFDM-LFM)波形的二维MIMO雷达的三维(3D)目标定位。为了实现方位角和仰角范围和角度的联合估计,通过OFDM-LFM波形产生了具有高范围分辨率的依赖于范围角度的波束方向图。然后,提出了3D目标定位建议,并推导了Cramer-Rao绑定(CRB)的相应闭式表达式。此外,为了减轻角度和范围的耦合并进一步提高估计精度,提出了一种CRB优化方法。与基于FDA的雷达的现有方法不同,由于多个发射频段,该方法可以提供更高的距离估计。数值仿真结果证明了该方法的有效性及其改进的目标定位性能。

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