| 摘要: |
| 在分布式多输入多输出（Multiple-Input Multiple-Output， MIMO）雷达中，部分通道产生的低质量双站距离（Bistatic Range， BR）测量值会显著降低常规间接法的目标定位精度。针对这一问题，本文基于Tukey损失函数构建鲁棒估计器，并采用迭代重加权非线性最小二乘（Iterative Reweighted Nonlinear Least Squares， IRNLS）法进行高效求解。该方法可作为一种通用的后处理模块，有效提升现有间接法在存在异常值场景下的目标定位性能。此外，通过大量的仿真实验探究了该鲁棒估计器与不同现有间接法结合后，在不同信噪比下的最优边界参数。进一步地，建立了最优边界参数与信噪比之间的近似关系模型。最后，本文还定量分析了引入该鲁棒估计器所带来的计算复杂度增量问题。 |
| 关键词: 分布式多输入多输出雷达 双站距离 Tukey损失函数 鲁棒定位 迭代重加权非线性最小二乘法 |
| DOI：DOI:10.3969/j.issn.1672-2337.2026.03.002 |
| 分类号:TN953 |
| 基金项目:国家自然科学基金（62501622） |
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| Research on Robust Target Localization Method for Distributed MIMO Radar Based on Bistatic Range |
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TAO Siyu， WEN Gongjian， SONG Haibo， ZHOU Enji
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1. College of Electronic Science and Technology， National University of Defense Technology， Changsha 410073， China;2. College of Aerospace Science and Engineering， National University of Defense Technology， Changsha 410073， China
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| Abstract: |
| In the distributed multiple-input multiple-output（MIMO）radar systems， low-quality bistatic range（BR）measurements from certain channels can significantly degrade the target localization accuracy of conventional indirect methods. To address this issue， this paper constructs a robust estimator based on the Tukey loss function， and uses the iterative reweighted nonlinear least squares（IRNLS）method to solve it efficiently. This method can be used as a general post-processing module to effectively improve the target localization performance of the existing indirect methods in the scenarios of outliers. Furthermore， through extensive simulation experiments， the optimal boundary parameters of the robust estimator combined with different existing indirect methods under different signal-to-noise ratio（SNR）conditions are investigated. Subsequently， an approximate relationship between the optimal boundary parameters and SNR is modeled. Finally， the incremental computational complexity caused by the robust estimator is quantitatively analyzed. |
| Key words: distributed multiple-input multiple-output（MIMO）radar bistatic range（BR） Tukey loss function robust localization iterative reweighted nonlinear least squares（IRNLS）method |
