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MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter

机译:具有扩展目标和杂波先验信息的MIMO雷达波形优化

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摘要

The concept of multiple-input multiple-output (MIMO) radar allows each transmitting antenna element to transmit an arbitrary waveform. This provides extra degrees of freedom compared to the traditional transmit beamforming approach. It has been shown in the recent literature that MIMO radar systems have many advantages. In this paper, we consider the joint optimization of waveforms and receiving filters in the MIMO radar for the case of extended target in clutter. A novel iterative algorithm is proposed to optimize the waveforms and receiving filters such that the detection performance can be maximized. The corresponding iterative algorithms are also developed for the case where only the statistics or the uncertainty set of the target impulse response is available. These algorithms guarantee that the SINR performance improves in each iteration step. Numerical results show that the proposed methods have better SINR performance than existing design methods.
机译:多输入多输出(MIMO)雷达的概念允许每个发射天线元件发射任意波形。与传统的发射波束成形方法相比,这提供了额外的自由度。在最近的文献中已经表明,MIMO雷达系统具有许多优点。在本文中,我们考虑了在杂波扩展目标情况下,MIMO雷达中的波形和接收滤波器的联合优化。提出了一种新颖的迭代算法来优化波形并接收滤波器,从而可以使检测性能最大化。还针对仅目标冲激响应的统计数据或不确定性集合可用的情况开发了相应的迭代算法。这些算法保证了在每个迭代步骤中SINR性能都会得到改善。数值结果表明,所提出的方法具有比现有设计方法更好的SINR性能。

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  • 年度 2009
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  • 正文语种 {"code":"en","name":"English","id":9}
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