Joint Frequency Offset Estimation for Link-16 System in Low Signal-Noise Ratio Scene

NING Xiaoyan; LUO Hailing; SUN Zhiguo; DIAO Ming

doi:10.11999/JEIT220967

Volume 45 Issue 10

Oct. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(10): 3587-3593

NING Xiaoyan, LUO Hailing, SUN Zhiguo, DIAO Ming. Joint Frequency Offset Estimation for Link-16 System in Low Signal-Noise Ratio Scene[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3587-3593. doi: 10.11999/JEIT220967

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NING Xiaoyan, LUO Hailing, SUN Zhiguo, DIAO Ming. Joint Frequency Offset Estimation for Link-16 System in Low Signal-Noise Ratio Scene[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3587-3593. doi: 10.11999/JEIT220967

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Joint Frequency Offset Estimation for Link-16 System in Low Signal-Noise Ratio Scene

doi: 10.11999/JEIT220967

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Received Date: 2022-07-21
Rev Recd Date: 2022-12-06

Available Online: 2022-12-09

Publish Date: 2023-10-31

Abstract

Abstract

For the Doppler frequency offset of Link-16 data link terminal platform in low Signal-Noise Ratio(SNR) and high-speed moving scene, a new data structure is designed, and a step-by-step frequency offset estimation algorithm combining frequency domain transform, and the Cramer-Rao Low Bound(CRLB) and time-domain autocorrelation is proposed on this basis. First according to the basic idea, the received signal is autocorrelated, and then the maximum index is found through frequency domain transformation. Combined with the correlation factor, the coarse estimation value of frequency offset is obtained. Then, the received signal is finely estimated by using improved L&R algorithm in time domain, and the final frequency offset estimation value is obtained according to the two-step estimation algorithm. The algorithm is simulated by Monte Carlo experiment. The simulation results show that compared with the traditional frequency offset estimation algorithm, the normalized mean square error of the algorithm is closer to CRLB, and when the Doppler frequency offset is [–20 kHz, 20 kHz], the estimation accuracy can reach 10^–5. In low SNR environment, the algorithm can achieve ideal estimation effect, which is suitable for Link-16 data link communication.
- Link-16 data link,
- Cramer-Rao Low Bound(CRLB),
- Autocorrelation,
- Improved L&R algorithm,
- Distributed estimation algorithm

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References(17)

References

[1]	王旭东, 樊涛, 黄强辉, 等. 大多普勒频偏SOQPSK信号FFT引导COSTAS环载波跟踪技术[J]. 电子学报, 2016, 46(2): 491–496. doi: 10.3969/j.issn.0372-2112.2016.02.034 WANG Xudong, FAN Tao, HUANG Qianghui, et al. SOQPSK carrier tracking technology with large Doppler frequency offset based on FFT guided Costas loop[J]. Acta Electronica Sinica, 2016, 46(2): 491–496. doi: 10.3969/j.issn.0372-2112.2016.02.034
[2]	KAY S. A fast and accurate single frequency estimator[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989, 37(12): 1987–1990. doi: 10.1109/29.45547
[3]	FITZ M P. Further results in the fast estimation of a single frequency[J]. IEEE Transactions on Communications, 1994, 42(234): 862–864. doi: 10.1109/TCOMM.1994.580190
[4]	LUISE M and REGGIANNINI R. Carrier frequency recovery in all-digital modems for burst-mode transmissions[J]. IEEE Transactions on Communications, 1995, 43(2/4): 1169–1178. doi: 10.1109/26.380149
[5]	MENGALI U and MORELLI M. Data-aided frequency estimation for burst digital transmission[J]. IEEE Transactions on Communications, 1997, 43(1): 23–25. doi: 10.1109/26.554282
[6]	孙锦华, 石静静. iNET系统多径衰落信道下的两步频偏估计算法[J]. 电子学报, 2019, 47(7): 1506–1511. doi: 10.3969/j.issn.0372-2112.2019.07.014 SUN Jinhua and SHI Jingjing. A two step frequency offset estimation algorithm using the INET preamble in multipath fading channels[J]. Acta Electronica Sinica, 2019, 47(7): 1506–1511. doi: 10.3969/j.issn.0372-2112.2019.07.014
[7]	ZHANG Qixun, SUN Huiqing, FENG Zhiyong, et al. Data-aided Doppler frequency shift estimation and compensation for UAVs[J]. IEEE Internet of Things Journal, 2020, 7(1): 400–415. doi: 10.1109/jiot.2019.2943608
[8]	ZENG Rong, HUANG Hanbing, YANG Liuqing, et al. Joint estimation of frequency offset and Doppler shift in high mobility environments based on orthogonal angle domain subspace projection[J]. IEEE Transactions on Vehicular Technology, 2018, 67(3): 2254–2266. doi: 10.1109/TVT.2017.2766887
[9]	许凯嘉, 黄巍, 查雨希, 等. 基于空时分组码的Link-16全空域增强传输方案[J]. 指挥与控制学报, 2021, 7(1): 70–75. doi: 10.3969/j.issn.2096-0204.2021.01.0070 XU Kaijia, HUANG Wei, ZHA Yuxi, et al. Link-16 full airspace enhanced transmission scheme based on space-time block code[J]. Journal of Command and Control, 2021, 7(1): 70–75. doi: 10.3969/j.issn.2096-0204.2021.01.0070
[10]	张嘉怡, 余忠洋, 朱敏, 等. 低轨卫星通信中SCMA系统载波同步算法设计[J]. 系统工程与电子技术, 2021, 43(5): 1354–1360. doi: 10.12305/j.issn.1001-506X.2021.05.24 ZHANG Jiayi, YU Zhongyang, ZHU Min, et al. Design of carrier synchronization algorithm for SCMA system in LEO satellite communication[J]. Systems Engineering and Electronics, 2021, 43(5): 1354–1360. doi: 10.12305/j.issn.1001-506X.2021.05.24
[11]	赵文超, 刘祖深, 许虎. 基于DMRS联合频偏估计方法及应用[J]. 电子测量与仪器学报, 2021, 35(11): 170–176. doi: 10.13382/j.jemi.B2104019 ZHAO Wenchao, LIU Zushen, and XU Hu. Method and application of joint frequency offset estimation based on DMRS[J]. Journal of Electronic Measurement and Instrumentation, 2021, 35(11): 170–176. doi: 10.13382/j.jemi.B2104019
[12]	吕娜, 张岳彤, 陈柯帆, 等. 数据链理论与系统[M]. 2版. 北京: 电子工业出版社, 2018: 130–131. LV Na, ZHANG Yuetong, CHEN Kefan, et al. Theory and System of Data Link[M]. 2nd ed. Beijing: Publishing House of Electronics Industry, 2018: 130–131.
[13]	赵陆文, 张北江, 缪志敏, 等. 低信噪比突发信号载波频偏估计算法[J]. 系统工程与电子技术, 2015, 37(12): 2848–2852. doi: 10.3969/j.issn.1001-506X.2015.12.28 ZHAO Luwen, ZHANG Beijiang, MIAO Zhimin, et al. Carrier frequency offset estimation algorithm for burst and low SNR signal[J]. Systems Engineering and Electronics, 2015, 37(12): 2848–2852. doi: 10.3969/j.issn.1001-506X.2015.12.28
[14]	蒋占军, 刘庆达, 张鈜, 等. 高速移动通信系统中OTFS分数多普勒信道估计加窗研究[J]. 电子与信息学报, 2022, 44(2): 646–653. doi: 10.11999/JEIT210561 JIANG Zhanjun, LIU Qingda, ZHANG Hong, et al. Study on OTFS fractional Doppler channel estimation and windowing in high-speed mobile communication systems[J]. Journal of Electronics &Information Technology, 2022, 44(2): 646–653. doi: 10.11999/JEIT210561
[15]	关磊, 司江勃, 李赞, 等. 高动态环境下联合导频与Viterbi的同步技术[J]. 西安电子科技大学学报, 2022, 49(2): 21–28. doi: 10.19665/j.issn1001-2400.2022.02.003 GUAN Lei, SI Jiangbo, LI Zan, et al. Joint pilot and Viterbi decoding synchronization technology in high-dynamic environments[J]. Journal of Xidian University, 2022, 49(2): 21–28. doi: 10.19665/j.issn1001-2400.2022.02.003
[16]	SERGIENKO A B and BARANOV M A. Application of modified luise and reggiannini method for blind estimation of frequency offset for QAM signals[C]. 2020 Wave Electronics and its Application in Information and Telecommunication Systems, St. Petersburg, Russia, 2020: 1–4.
[17]	石璟, 张朝阳, 储珊, 等. 一种TD-SCDMA载波频偏与信道联合估计算法[J]. 电子与信息学报, 2006, 28(11): 2099–2102. SHI Jing, ZHANG Zhaoyang, CHU Shan, et al. A channel and carrier frequency offset joint estimation algorithm for TD-SCDMA[J]. Journal of Electronics &Information Technology, 2006, 28(11): 2099–2102.