Channel estimation in integrated radar and communication systems with power amplifier distortion

doi:10.23919/JSEE.2024.000053

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (5): 1098-1108.doi: 10.23919/JSEE.2024.000053

• ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Channel estimation in integrated radar and communication systems with power amplifier distortion

Yan LIU¹(), Jianxin YI¹^,*(), Xianrong WAN¹(), Yunhua RAO¹^,²(), Caiyong HAO¹^,³()

¹ School of Electronic Information, Wuhan University, Wuhan 430072, China
² Shenzhen Research Institute of Wuhan University, Shenzhen 518057, China
³ State Radio Monitoring Center of China, Shenzhen 518120, China

Received:2023-08-06 Online:2024-10-18 Published:2024-11-06
Contact: Jianxin YI E-mail:liulynn@whu.edu.cn;jxyi@whu.edu.cn;xrwan@whu.edu.cn;ryh@whu.edu.cn;hao.c.y@srrc.org.cn
About author:
LIU Yan was born in 1993. She received her M.S. degree in electronic and communication engineering from Chongqing University of Posts and Telecommunications in 2018. She is currently pursuing her Ph.D. degree with the School of Electronic Information, Wuhan University. Her main research interests include the waveform design of dual-function radar and communication and its signal processing. E-mail: liulynn@whu.edu.cn

YI Jianxin was born in 1989. He received his B.E. degree in electrical and electronic engineering, and his Ph.D. degree in radio physics from Wuhan University in 2011 and 2016, respectively. From August 2014 to August 2015, he was a visiting Ph.D. student at the University of Calgary. He is currently an associate professor with the School of Electronic Information, Wuhan University. His main research interests include radar signal processing, target tracking, and information fusion. E-mail: jxyi@whu.edu.cn

WAN Xianrong was born in 1975. He received his B.E. degree in electrical and electronic engineering and Ph.D. degree in radio physics from Wuhan University in 1991 and 2005 respectively. He is currently a professor and a Ph.D. candidate supervisor with the School of Electronic Information, Wuhan University. His main research interests include design of new radar systems such as passive radars and over-the-horizon radars, and array signal processing. E-mail: xrwan@whu.edu.cn

RAO Yunhua was born in 1972. He received his B.E. degree from Harbin Engineering University in 1995, and M.S. degree and Ph.D. degrees from Huazhong University of Science and Technology in 2000 and 2004, respectively. He is currently an associate professor with the School of Electronic Information, Wuhan University. His research interests include design of new radar system and wireless communication network. E-mail: ryh@whu.edu.cn

HAO Caiyong was born in 1985. He received his B.S. and M.S. degrees from Hunan University in 2007 and 2010, respectively. He is currently pursuing his Ph.D. degree with the School of Electronic Information, Wuhan University, China. His research interests include radio spectrum monitoring, satellite communications, signal processing for wireless communications, and radio source localization. E-mail: hao.c.y@srrc.org.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61931015;62071335;62250024), the Natural Science Foundation of Hubei Province of China (2021CFA002), the Fundamental Research Funds for the Central Universities of China (2042022dx0001), and the Science and Technology Program of Shenzhen (JCYJ20170818112037398).

Abstract

Abstract:

To reduce the negative impact of the power amplifier (PA) nonlinear distortion caused by the orthogonal frequency division multiplexing (OFDM) waveform with high peak-to-average power ratio (PAPR) in integrated radar and communication (RadCom) systems is studied, the channel estimation in passive sensing scenarios. Adaptive channel estimation methods are proposed based on different pilot patterns, considering nonlinear distortion and channel sparsity. The proposed methods achieve sparse channel results by manipulating the least squares (LS) frequency-domain channel estimation results to preserve the most significant taps. The decision-aided method is used to optimize the sparse channel results to reduce the effect of nonlinear distortion. Numerical results show that the channel estimation performance of the proposed methods is better than that of the conventional methods under different pilot patterns. In addition, the bit error rate performance in communication and passive radar detection performance show that the proposed methods have good comprehensive performance.

Key words: channel estimation, integrated radar and communication (RadCom), passive sensing, nonlinear distortion, power amplifier (PA), pilot pattern

Yan LIU, Jianxin YI, Xianrong WAN, Yunhua RAO, Caiyong HAO. Channel estimation in integrated radar and communication systems with power amplifier distortion[J]. Journal of Systems Engineering and Electronics, 2024, 35(5): 1098-1108.

Figures/Tables 11

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Parameter	Multipath	Target
Delay/s	[0, 0.1, 0.25, 0.38]$ \times {10^{ - 6}}$	[15, 38, 58]$ /{f_{\text{s}}} $
Gain/dB	[−5.5, −7.8, −8.2, −11.9]	[−50, −60, −45]
Doppler/Hz	[0, 0, 0, 0]	[80, 160, −40]

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Channel estimation in integrated radar and communication systems with power amplifier distortion

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