Compressive Sensing-Based Radar Imaging and Subcarrier Allocation for Joint MIMO OFDM Radar and Communication System.

Seongjun Hwang,Byung Jang Jeong,Hyungju Kim,Jaehyun Park,Jiho Seo

doi:10.3390/s21072382

Abstract

In this paper, a joint multiple-input multiple-output (MIMO OFDM) radar and communication (RadCom) system is proposed, in which orthogonal frequency division multiplexing (OFDM) waveforms carrying data to be transmitted to the information receiver are exploited to get high-resolution radar images at the RadCom platform. Specifically, to get two-dimensional (i.e., range and azimuth angle) radar images with high resolution, a compressive sensing-based imaging algorithm is proposed that is applicable to the signal received through multiple receive antennas. Because both the radar imaging performance (i.e., the mean square error of the radar image) and the communication performance (i.e., the achievable rate) are affected by the subcarrier allocation across multiple transmit antennas, by analyzing both radar imaging and communication performances, we also propose a subcarrier allocation strategy such that a high achievable rate is obtained without sacrificing the radar imaging performance.

Highlights

Interest in autonomous driving and connected car has grown because of implementing an intelligent transportation system
By considering the radar and communication (RadCom) platform equipped with multiple antennas using orthogonal frequency division multiplexing (OFDM) waveform (i.e., multiple-input multiple-output (MIMO) OFDM RadCom platform), we propose the compressive sensing-based radar imaging and the subcarrier allocation methods
It is verified that through the proposed subcarrier allocation strategy, a high achievable rate is obtained without sacrificing the radar imaging performance

Summary

Introduction

Interest in autonomous driving and connected car has grown because of implementing an intelligent transportation system. Sensors such as light detection and ranging (Lidar) and cameras can be used to recognize the surrounding environment, vehicle radar technology using millimeter waves is drawing attention as it is not affected by the surrounding environment, such as bad weather or light intensity [1,2]. In order to increase the number of sensors fitted to vehicles and to communicate various sensing information and road information, inter-vehicle communication technology with a high data rate is needed. It is necessary to consider the potential interference between radar and mobile communication systems in a situation where communication traffic among vehicles increases, being discussed in. In [5,6]

Results

Discussion

Conclusion