MIMO- Multi Channel Synthetic Aperture Radar System with Higher Visibility for Autonomous Vehicles to Identify Mobile and Immobile Objects

被引：0

作者：

Renjith P.N. ^{[1
]}

Sonker A. ^{[2
]}

Saravanakumar R. ^{[3
]}

Subramanian V. ^{[4
]}

Gundu V. ^{[5
]}

Ranjit P.S. ^{[6
]}

机构：

[1] Computer Science and Engineering Department, Vellore Institute of Technology, Chennai

[2] Department of Information Technology, Madhav Institute of Technology & Science, Gola ka Mandir, Madhya Pradesh, Gwalior

[3] Department of Wireless Communication, Institute of ECE, Saveetha School of Engineering, Savertha Institute of Medical and Technical Science, Chennai

[4] Department of ECE, Bharath Institute of Higher Education and Research, Tamil Nadu, Chennai

[5] Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, AP, Vaddeswaram

[6] Department of Mechanical Engineering, Aditya Engineering College, Andhra Pradesh, Surampalem

来源：

Remote Sensing in Earth Systems Sciences | 2023年 / 6卷 / 3-4期

关键词：

Autonomous vehicles; MIMO technology; Multiple transmit and receive antennas; Object detection; Spatial diversity; Synthetic Aperture Radar (SAR);

D O I：

10.1007/s41976-023-00087-8

中图分类号：

学科分类号：

摘要：

MIMO-based SAR system provides the autonomous vehicle with a more complete and accurate representation of its environment, allowing it to detect mobile (such as other vehicles on the highway) and immobile (such as road signs and obstacles) objects with greater accuracy. The improved visibility provided by the MIMO-based SAR system enhances the safety and efficiency of the autonomous vehicle, enabling it to make more informed decisions and navigate its surroundings with greater confidence. An autonomous vehicle equipped with a MIMO-based SAR system drives on a highway. The system uses multiple transmit and receive antennas to gather information about the environment and detect objects in the surroundings. The radar signals transmitted by the multiple antennas are reflected by the objects in the environment and collected by the received antennas. The data collected by the antennas are processed using the estimation of signal parameters via rotational invariance techniques (ESPRIT) to produce high-resolution images of the environment, which are then analyzed by the vehicle’s control system. The system can detect objects in the environment with greater accuracy and range than traditional radar systems, allowing the autonomous vehicle to make more informed decisions and navigate its surroundings more confidently. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

引用

页码：112 / 122

页数：10