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Sparsity-aware transmit beamspace design for FDA-MIMO radar

机译：FDA-MIMO雷达的稀疏感知发射波束空间设计

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摘要

Highlights•We devise an FDA and MIMO hybrid radar to jointly estimate the ranges and angles of multiple targets via optimal transmit beamspace design.•A uniform elemental power constraint is adopted as the optimization criterion to minimize the mutual coherence of the sensing matrix using a sparse model.•We exploit cyclic optimization and power method-like approaches to tackle the problem.•We employ different methods to evaluate the performance for range, angle and amplitude estimation.AbstractFrequency diverse array (FDA) can produce a range-angle-dependent beampattern due to the employment of a small frequency increment across the array elements. By utilizing this characteristic, this letter devises an FDA and multiple-input multiple-output hybrid radar to jointly estimate the ranges and angles of multiple targets via optimal transmit beamspace design. A uniform elemental power constraint is adopted as the optimization criterion is to minimize the mutual coherence of the sensing matrix using a sparse model and to achieve high-resolution estimation in both range and angle dimensions. A cyclic optimization approach based on power method-like is further developed to solve the non-convex design problem. The excellent performance of the proposed approach is demonstrated via computer simulations.
机译： 突出显示 • 我们设计了FDA和MIMO混合雷达，通过最佳发射波束空间设计共同估算多个目标的射程和角度。 • 采用统一的元素功率约束作为使用稀疏模型来最小化感测矩阵互相关性的优化标准。 • 我们利用循环优化和类似幂方法的方法 • 我们采用不同的方法来评估范围，角度和幅度估计的性能。 摘要 由于天线的频率变化，频率多样化阵列（FDA）可以产生与范围角度相关的光束图案在整个阵列元素上采用较小的频率增量。通过利用此特性，这封信设计了FDA和多输入多输出混合雷达，以通过最佳发射波束空间设计共同估算多个目标的距离和角度。采用统一的元素功率约束作为优化标准，是使用稀疏模型最小化感测矩阵的互相关性，并在范围和角度维度上实现高分辨率估计。为解决非凸设计问题，进一步开发了一种基于幂方法的循环优化方法。通过计算机仿真证明了该方法的出色性能。

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  • 来源
    《Signal processing》 |2018年第3期|99-103|共5页
  • 作者

    Pengcheng Gong; Wen-Qin Wang; Fengcong Li; Hing Cheung So;

  • 作者单位

    Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology,School of Communication and Information Engineering, University of Electronic Science and Technology of China;

    School of Communication and Information Engineering, University of Electronic Science and Technology of China;

    Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology;

    Department of Electronic Engineering, City University of Hong Kong;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Frequency diverse array; MIMO radar; Parameter estimation; Waveform design; Sparsity;

    机译：频率分集阵列;MIMO雷达;参数估计;波形设计;稀疏度;

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