A Coprime-based Sensing Waveform for 5G NR Radar-Communication Systems

Xiaoye Wang, Jianchao Zheng,Wenzhe Gu, Dongxiong Li, Qiaoling Cheng,Zhaocheng Yang

2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT)(2023)

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摘要
Fifth-generation new radio (5G NR) network techniques will enable high data rate, large bandwidth communication, low latency for application such as autonomous driving. Integrating radar sensing into the standardized 5G NR systems can potentially benefit many consumer applications that require both ratio frequency functions. However, without an effective transmission signal waveform, such integration may not achieve the expected gains of cost and performance of both functions. This paper presents a novel design for transmission signals based on coprime sampling, which satisfies time domain constraints for joint communication and radar sensing application. Specifically, to adapt the physical downlink control channel (PDCCH) and flexible uplink time slots allocation in one slot of five slots, a novel orthogonal frequency-division multiplexing (OFDM) transmitted waveforms based coprime sampling is proposed. Compared with the conventional uniform OFDM-based waveform design, the proposed OFDM-based waveform operates at a reduced cost and complexity by transmitting a reduced number of pulses. Numerical results are provided and demonstrate its effective performance with only forty percent sensing load and moderate complexity.
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关键词
Coprime-based Sensing Waveform,OFDM,5G NR framework,Sparse Sensing
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