分布式合成孔径无源定位及最优几何构型研究

IF 3.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Junhua Yang;Hao Huan;Ziming Xu;Ran Tao
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引用次数: 0

摘要

合成孔径无源定位(SAPP)逐渐成为辐射源定位研究的热点。然而,三维合成孔径被动定位方法的研究相对较少。此外,由于收发机之间的非协同工作而产生的残余频差(RFO)对合成孔径无源定位的影响很大。针对这一问题,提出了一种分布式合成孔径无源定位方法。该方法考虑了平台间的频率同步,利用SAPP算法获得高精度的斜角。然后,推导出三维目标位置与RFO相关的定位方程。研究了在一定约束条件下的分布式几何构型,得到了最优构型的解析解。星载仿真结果表明,该方法的定位精度比FOA、FDOA和DOA方法提高了一个数量级。此外,机载实验表明,在RFO存在的情况下,该方法将定位精度提高了两个数量级,并表现出较强的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Distributed Synthetic Aperture Passive Positioning and Optimal Geometric Configuration
Synthetic aperture passive positioning (SAPP) has gradually become a hot spot in radiation source location research. However, there are relatively few studies on three-dimensional synthetic aperture passive positioning methods. Moreover, synthetic aperture passive positioning is significantly affected by residual frequency offsets (RFO) resulting from noncooperative operation between transceivers. To address the challenges, a distributed synthetic aperture passive positioning method is proposed. Considering frequency synchronization among platforms, this method leverages the SAPP algorithm to obtain high-precision slant angles. Subsequently, it formulates positioning equations related to the 3D target position and RFO. The distributed geometric configuration is studied under certain constraints, and the analytical solutions for the optimal configuration are obtained. Space-borne simulations illustrate that the positioning accuracy of the proposed method is an order of magnitude higher compared to that of the FOA, FDOA, and DOA methods. Additionally, airborne experiments indicate that in the presence of RFO, the proposed method improves the positioning accuracy by two orders of magnitude and exhibits strong convergence properties.
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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