智能反射面辅助下双基地MIMO的DOD和DOA联合估计

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Xinpeng Xue , Ke Wang , Fangqing Wen , Junpeng Shi
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引用次数: 0

摘要

智能反射面(IRS)是无线通信领域的重大突破。即使在发射阵列(Tx)和接收阵列(Rx)之间存在障碍物时,它也可以重建无线信道,使多输入多输出(MIMO)雷达能够从非视距(NLOS)方向定位目标,然而,现有的基于优化的方法过于复杂,无法实际实现。研究了任意流形阵列双基地MIMO雷达的角度估计问题,提出了一种基于IRS辅助的二维出发方向(2D-DOD)和二维到达方向(2D-DOA)联合估计算法。该算法采用PM算法和谱峰搜索法分别估计出发方向(DOD)和到达方向(DOA),实现四维角度估计。提出的框架可以在不需要预理解目标- irs信道的情况下对二维NLOS信号进行联合估计,分析了算法的复杂度和角度估计误差,仿真结果证实了所提算法的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Joint estimation of DOD and DOA for bistatic MIMO assisted by Intelligent Reflecting Surface

Joint estimation of DOD and DOA for bistatic MIMO assisted by Intelligent Reflecting Surface
Intelligent Reflecting Surface (IRS) represents a significant breakthrough in wireless communication. It can reconstruct wireless channels even when there are obstructions between the transmitting array (Tx) and the receiving array (Rx), enabling Multiple-Input Multiple-Output (MIMO) radar to locate targets from non-line-of-sight (NLOS) directions, however, existing optimization-based methods are too complex to be practically implemented. This paper investigates the angle estimation problem for arbitrary manifold array bistatic MIMO radar and proposes a joint two-dimensional direction-of-departure (2D-DOD) and two-dimensional direction-of-arrival (2D-DOA) estimation algorithm assisted by an IRS. The algorithm employs the PM algorithm and the spectral peak search method to estimate direction-of-departure (DOD) and direction-of-arrival (DOA), respectively, achieving a four-dimensional angle estimation. The proposed framework can jointly estimate two-dimensional NLOS signals without the need to pre-understand the target-IRS channel, the algorithm’s complexity and angle estimation error are analyzed, and simulation results confirm both the efficacy and superiority of the proposed algorithm.
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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