Full-Duplex OFDM Radar With LTE and 5G NR Waveforms: Challenges, Solutions, and Measurements
arXiv:1908.03418 · doi:10.1109/TMTT.2019.2930510
Abstract
This paper studies the processing principles, implementation challenges, and performance of OFDM-based radars, with particular focus on the fourth-generation Long-Term Evolution (LTE) and fifth-generation (5G) New Radio (NR) mobile networks' base stations and their utilization for radar/sensing purposes. First, we address the problem stemming from the unused subcarriers within the LTE and NR transmit signal passbands, and their impact on frequency-domain radar processing. Particularly, we formulate and adopt a computationally efficient interpolation approach to mitigate the effects of such empty subcarriers in the radar processing. We evaluate the target detection and the corresponding range and velocity estimation performance through computer simulations, and show that high-quality target detection as well as high-precision range and velocity estimation can be achieved. Especially 5G NR waveforms, through their impressive channel bandwidths and configurable subcarrier spacing, are shown to provide very good radar/sensing performance. Then, a fundamental implementation challenge of transmitter-receiver (TX-RX) isolation in OFDM radars is addressed, with specific emphasis on shared-antenna cases, where the TX-RX isolation challenges are the largest. It is confirmed that from the OFDM radar processing perspective, limited TX-RX isolation is primarily a concern in detection of static targets while moving targets are inherently more robust to transmitter self-interference. Properly tailored analog/RF and digital self-interference cancellation solutions for OFDM radars are also described and implemented, and shown through RF measurements to be key technical ingredients for practical deployments, particularly from static and slowly moving targets' point of view.
Paper accepted by IEEE Transactions on Microwave Theory and Techniques
References in corpus (3)
Cited by in corpus (12)
- Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
- SNR/CRB-Constrained Joint Beamforming and Reflection Designs for RIS-ISAC Systems
- System-Level Analysis of Joint Sensing and Communication based on 5G New Radio
- Environment Sensing Considering the Occlusion Effect: A Multi-View Approach
- Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
- MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio
- Multi-Objective Optimization-Based Waveform Design for Multi-User and Multi-Target MIMO-ISAC Systems
- Highly Efficient Waveform Design and Hybrid Duplex for Joint Communication and Sensing
- CISSIR: Beam Codebooks with Self-Interference Reduction Guarantees for Integrated Sensing and Communication Beyond 5G
- System-level Analysis of Dual-Mode Networked Sensing: ISAC Integration & Coordination Gains
- Target Localization using Bistatic and Multistatic Radar with 5G NR Waveform
- Converging Radar and Communications in the Superposition Transmission