Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles

IF 7.1 2区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2024-09-11 DOI:10.1109/TVT.2024.3451480

Jitendra Singh;Awadhesh Gupta;Aditya K. Jagannatham;Lajos Hanzo

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Abstract

Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems capable of integrated sensing and communication (ISAC) constitute a key technology for connected autonomous vehicles (CAVs). In this context, we propose a multi-beam object-localization (MBOL) model for enhancing the sensing beampattern (SBP) gain of adjacent objects in CAV scenarios. Given the ultra-narrow beams of mmWave MIMO systems, a single pencil beam is unsuitable for closely located objects, which tend to require multiple beams. Hence, we formulate the SBP gain maximization problem, considering also the constraints on the signal-to-interference and noise ratio (SINR) of the communication users (CUs), on the transmit power, and the constant modulus of the phase-shifters in the mmWave hybrid transceiver. To solve this non-convex problem, we propose a penalty-based triple alternating optimization algorithm to design the hybrid beamformer. Finally, simulation results are provided for demonstrating the efficacy of the proposed model.

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毫米波 ISAC 辅助互联自动驾驶汽车的多波束目标定位

能够集成传感和通信（ISAC）的毫米波（mmWave）多输入多输出（MIMO）系统是联网自动驾驶汽车（cav）的关键技术。在此背景下，我们提出了一种多波束目标定位（MBOL）模型，用于提高CAV场景下相邻目标的传感波束方向图（SBP）增益。考虑到毫米波MIMO系统的超窄波束，单个铅笔波束不适合近距离定位的物体，这往往需要多个波束。因此，我们在考虑通信用户（cu）的信噪比（SINR）、发射功率和毫米波混合收发器中移相器的恒定模量约束的情况下，制定了SBP增益最大化问题。为了解决这一非凸问题，我们提出了一种基于惩罚的三重交替优化算法来设计混合波束形成器。最后给出了仿真结果，验证了所提模型的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Vehicular Technology 工程技术-电信学

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.