| 引用本文: | 赵 研， 陶海红， 畅 鑫， 董春曦， 赵国庆. 基于差分模型的近场无源定位算法[J]. 雷达科学与技术, 2023, 21(4): 405-410.[点击复制] |
| ZHAO Yan, TAO Haihong, CHANG Xin, DONG Chunxi, ZHAO Guoqing. A Near⁃Field Passive Localization Algorithm Based on Difference Model[J]. Radar Science and Technology, 2023, 21(4): 405-410.[点击复制] |
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| 摘要: |
| 对于均匀线性天线阵列近场目标定位研究是探测领域重要难点之一。本文根据前期近场基于差分迭代传播计算模型研究基础，提出一种新型高精度近场无源定位算法，针对均匀线性阵列近场目标空间几何结构，突破传统菲涅尔近似近场传播模型的束缚，建立全新高精度目标关系模型并形成定位解析表达式，通过阵列处理估计改进到达时差（TOA）定位观测量，利用新算法快速准确地获取近场多个独立同分布目标的定位信息。仿真实验结果表明：新算法机理不同于传统近场估计分析，特别是定位解析式的引入使得位置精度提升的同时计算量大为降低，更好地适应了近场非线性关系结构，性能分析显示TOA误差对定位估计精度的影响较为有限，在典型信噪比条件下新算法的距离和角度估计精度优于几种常规处理算法，未来具有深入研究的价值。 |
| 关键词: 近场 菲涅尔近似 无源定位 到达时间差 差分模型 |
| DOI：DOI:10.3969/j.issn.1672-2337.2023.04.007 |
| 分类号:TN911.72；TN958.97 |
| 基金项目: |
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| A Near⁃Field Passive Localization Algorithm Based on Difference Model |
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ZHAO Yan, TAO Haihong, CHANG Xin, DONG Chunxi, ZHAO Guoqing
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1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China;2. School of Electronic Engineering, Xidian University, Xi’an 710071, China
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| Abstract: |
| The study of near?field target localization in a uniform linear antenna array （ULA） is one of the most difficult problems in electromagnetic detection. Based on the near?field differential iteration model from the previous work, a novel high?precision near?field passive localization algorithm is proposed in the paper. Breaking the bondage of traditional Fresnel approximation of the near?field transmission model, for a near?field target space geometry of the uniform linear array, a novel high precision target relational model and positioning analytical expression is derived. With TOA positioning observations estimated by array signal processing, the positioning information of multiple targets, which are independent and identically distributed, in the near field are obtained quickly and accurately by the novel positioning algorithm. The simulation results show that the mechanism of the novel algorithm is different from the traditional near?field position analysis. In particular, the introduction of the positioning analytical formula greatly reduces the calculation complexity while improving the position accuracy, and better adapts to the structure of the near?field nonlinear relationship. Performance curves show that TOA error has a limited impact on the accuracy of location estimation. Under typical SNR conditions, the distance and angle estimation accuracy of the novel algorithm is better than several conventional processing algorithms, which has potential value for further research in the future. |
| Key words: near⁃field Fresnel approximation passive location time difference of arrival（TDOA） difference model |
