Near-Field Localization With Antenna Arrays in the Presence of Direction-Dependent Mutual Coupling

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2025-01-15 DOI:10.1109/TVT.2025.3530166
Zohreh Ebadi;Amir Masoud Molaei;George C. Alexandropoulos;Muhammad Ali Babar Abbasi;Simon Cotton;Anvar Tukmanov;Okan Yurduseven
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Abstract

Localizing near-field sources considering practical arrays is a recent challenging topic for next generation wireless communication systems. Practical antenna array apertures with closely spaced elements exhibit direction-dependent mutual coupling (MC), which can significantly degrade the performance of localization techniques. A conventional method for near-field localization in the presence of MC is the three-dimensional (3D) multiple signal classification (MUSIC) technique, which, however, suffers from extremely high computational complexity. Recently, two-dimensional (2D) search alternatives have been presented, exhibiting increased complexity still for direction-dependent MC scenarios. In this paper, we devise a low complexity one-dimensional (1D) iterative method based on an oblique projection operator (IMOP) that estimates direction-dependent MC and the locations of multiple near-field sources. The proposed method first estimates the initial direction of arrival (DOA) using an approximate wavefront model, and then, computes the initial MC and range of the near-field source using an exact wavefront model. Afterwards, at each iteration, the oblique projection operator is used to isolate components associated with one source from those of other sources. The DOA and range of this one source are estimated using the exact wavefront model and 1D searches. Finally, the direction-dependent MC is estimated for each pair of the estimated DOA and range. The performance of the proposed near-field localization approach is comprehensively investigated and verified using both a full-wave electromagnetic solver and synthetic simulations. It is showcased that our IMOP scheme performs almost similarly to a state-of-the-art approach but with a 42 times less computational complexity.
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方向相关相互耦合下天线阵列的近场定位
考虑实际阵列的近场源定位是下一代无线通信系统最近的一个具有挑战性的课题。在实际应用中,单元间距较近的天线阵列孔径存在方向相关的相互耦合(MC),这严重影响了定位技术的性能。传统的近场定位方法是三维(3D)多信号分类(MUSIC)技术,但其计算复杂度极高。最近,二维(2D)搜索替代方案已经提出,显示出方向依赖的MC场景的复杂性仍然增加。在本文中,我们设计了一种基于斜投影算子(IMOP)的低复杂度一维迭代方法,用于估计方向相关的MC和多个近场源的位置。该方法首先采用近似波前模型估计初始到达方向(DOA),然后采用精确波前模型计算初始MC和近场源距离。然后,在每次迭代中,使用斜投影算子将与一个源相关的组件与其他源相关的组件隔离开来。使用精确的波前模型和一维搜索估计了这一个源的DOA和范围。最后,对每一对估计的DOA和距离估计方向相关的MC。利用全波电磁求解器和综合仿真对所提出的近场定位方法的性能进行了全面的研究和验证。结果表明,我们的IMOP方案的执行几乎与最先进的方法相似,但计算复杂性降低了42倍。
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来源期刊
CiteScore
6.00
自引率
8.80%
发文量
1245
审稿时长
6.3 months
期刊介绍: The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
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