Range Processing Analysis for RadCom Based on Continuous-Wave

被引：0
作者：
Huang Y. [1 ]
Hu S. [1 ]
Ye Q. [1 ]
Hu Z. [1 ]
机构：
[1] National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2022年 / 51卷 / 05期
关键词：
Autocorrelation; OFDM; Radar signal processing; RadCom;
D O I：
10.12178/1001-0548.2021246
中图分类号：
学科分类号：
摘要：
With the development of science and technology, the demands of Internet of vehicle (IoV) and 6G for the fusion of communications and radar (RadCom) technology is gradually increasing. Orthogonal frequency division multiplexing (OFDM) RadCom systems based on sharing continuous-wave have two range processing methods: one based on the periodic autocorrelation function (PACF) and the other based on the frequency domain element level division. In range processing, these two methods have different effects on the received noise, resulting in the difference of radar performance. By analyzing the equivalent noise amplitude amplification factor and relevant sidelobe based on PACF and frequency domain element level division, this paper introduces the calculation method of critical signal-to-noise ratio (SNR) of these two range processing methods. Finally, the effectiveness of the proposed critical SNR calculation method is verified by the simulation evaluation of radar detection performance in the IoV scenario. © 2022, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码：688 / 693
页数：5
相关论文
共 17 条
  • [1] STURM C, WIESBECK W., Waveform design and signal processing aspects for fusion of wireless communications and radar sensing, Proceedings of the IEEE, 99, 7, pp. 1236-1259, (2011)
  • [2] HUANG Y X, HU S, MA S Y, Et al., Designing low-PAPR waveform for OFDM-based RadCom systems, IEEE Transactions on Wireless Communications, (2022)
  • [3] STURM C, PANCERA E, ZWICK T, Et al., A novel approach to OFDM radar processing, Radar Conference, pp. 1-4, (2009)
  • [4] ZUO J J, YANG R J, LI X B, Et al., Compressed sensing method for joint radar and communication system based on OFDM-IM signal, Journal of Electronics and Information Technology, 42, 12, pp. 2976-2983, (2020)
  • [5] XIAO B, HUO K, LIU Y X., Development and prospect of radar and communication integration, Journal of Electronics and Information Technology, 41, 3, pp. 739-750, (2019)
  • [6] LIU B F, CHEN B X., Integration of MIMO radar and communication with OFDM-LFM signals, Journal of Electronics and Information Technology, 41, 4, pp. 801-808, (2019)
  • [7] LIU Y J, LIAO G S, YANG Z W, Et al., A super-resolution design method for integration of OFDM radar and communication, Journal of Electronics and Information Technology, 38, 2, pp. 425-433, (2016)
  • [8] HUANG Y X, HU S, MA S Y, Et al., Constant envelope OFDM RadCom fusion system, EURASIP Journal on Wireless Communications and Networking (JWCN), (2018)
  • [9] HUANG Y X, HUANG D, LUO Q, Et al., NC-OFDM RadCom system for electromagnetic spectrum interference, IEEE 17th Int Conf on Comm Tech (ICCT 2017), pp. 877-881, (2017)
  • [10] HUANG Y X, LUO Q, MA S Y, Et al., Constant envelope OFDM RadCom system, 6th Int Conf on Comm, Signal Process & Sys (CSPS 2017), pp. 896-904, (2017)
12