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Software-Defined Radar Testbed for Multi-Target Tracking
Conference proceeding

Software-Defined Radar Testbed for Multi-Target Tracking

Abhishek Adhikari, Sameer Parihar, Sujoy Das, Marko Jacovic, Anthony Trezza, Vasil Pano and Kapil R Dandekar
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
01 Jan 2022
DOI: https://doi.org/10.1109/RadarConf2248738.2022.9764220

Abstract

Advanced driver assistance systems Air traffic control Commonality Millimeter waves Multiple target tracking Radar tracking Ray tracing Robotics Software Software radio Test stands Tracking Tracking filters Waveforms
Conference Title: 2022 IEEE Radar Conference (RadarConf22) Conference Start Date: 2022, March 21 Conference End Date: 2022, March 25 Conference Location: New York City, NY, USAModern-day radar is used extensively in applications such as autonomous driving, robotics, air traffic control, and maritime operations. The commonality between the aforementioned examples is the underlying tracking filter used to process ambiguous detections and track multiple targets. In this paper, we present a Software-Defined Radio-based radar testbed that leverages controllable and repeatable large-scale wireless channel emulation to evaluate diverse radar applications experimentally without the complexity and expense of field testing. Through over-the-air (OTA) and emulated evaluation, we demonstrate the capa-bilities of this testbed to perform multiple-target tracking (MTT) via Joint Probabilistic Data Association (JPDA) filtering. This testbed features the use of flexible sub-6 GHz or mmWave operation, electromagnetic ray tracing for site-specific emulation, and software reconfigurable radar waveforms and processing. Although the testbed is designed generalizable, for this paper we demonstrate its capabilities using an advanced driver-assistance system radar application.

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