Unique Words Blind Identification of Time Division Multiple Access Modulated Data Based on Fourth Order Correlation

JIANG Hua; SONG Kaifei; ZOU Kunheng; SUN Peng; GONG Kexian; ZHANG Ling; WANG Wei

doi:10.11999/JEIT230935

Volume 46 Issue 7

Jul. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(7): 2803-2811

JIANG Hua, SONG Kaifei, ZOU Kunheng, SUN Peng, GONG Kexian, ZHANG Ling, WANG Wei. Unique Words Blind Identification of Time Division Multiple Access Modulated Data Based on Fourth Order Correlation[J]. Journal of Electronics & Information Technology, 2024, 46(7): 2803-2811. doi: 10.11999/JEIT230935

Citation:

JIANG Hua, SONG Kaifei, ZOU Kunheng, SUN Peng, GONG Kexian, ZHANG Ling, WANG Wei. Unique Words Blind Identification of Time Division Multiple Access Modulated Data Based on Fourth Order Correlation[J]. Journal of Electronics & Information Technology, 2024, 46(7): 2803-2811. doi: 10.11999/JEIT230935

Citation:

JIANG Hua, SONG Kaifei, ZOU Kunheng, SUN Peng, GONG Kexian, ZHANG Ling, WANG Wei. Unique Words Blind Identification of Time Division Multiple Access Modulated Data Based on Fourth Order Correlation[J]. Journal of Electronics & Information Technology, 2024, 46(7): 2803-2811. doi: 10.11999/JEIT230935

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Unique Words Blind Identification of Time Division Multiple Access Modulated Data Based on Fourth Order Correlation

doi: 10.11999/JEIT230935

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Funds: The National Key Research and Development Program of China (2019QY0302), The National Natural Science Foundation of China (61901417)

Received Date: 2023-08-29
Rev Recd Date: 2023-12-01

Available Online: 2023-12-07

Publish Date: 2024-07-29

Abstract

Abstract

Considering the problem of blind identification of Unique Words (UW) for Time Division Multiple Access (TDMA) signals in non-cooperative communication, a blind identification algorithm for distributed UW is proposed in this paper. Different from the unique codes recognition algorithm at the bit layer, a unique words recognition algorithm at the waveform layer oriented to the correlation is proposed between different windows of the modulated data for centralised unique words and distributed unique words, respectively. The algorithm takes advantage of the consistency and correlation of the unique words and proceeds in two steps: firstly, the unique words of different burst signals are vertically aligned by eliminating the effects of frequency and phase bias between the different burst signals through differential accumulation, and then the positions and lengths of the unique words are identified by the multilayer differential conjugate fourth order correlation algorithm. The performance of the algorithm is simulated and analysed with different number of bursts, signal-to-noise ratios, and with or without frequency and phase biases, and the effectiveness of the waveform layer identification of unique words is verified, and the algorithm achieves more than 95% of the identification rate at a signal-to-noise ratio of 5dB for both centralized and distributed unique words, which is of certain value for engineering applications.
- Modulated data,
- Time Division Multiple Access (TDMA) signal,
- Differential accumulation,
- Fourth order correlation,
- Unique Words (UW) blind identification

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References(20)

References

[1]	张永光, 楼才义. 信道编码及其识别分析[M]. 4版. 北京: 电子工业出版社, 2010: 1–2. ZHANG Yongguang and LOU Caiyi. Channel Coding and Recognition Analysis[M]. 4th ed. Beijing: Publishing House of Electronics Industry, 2010: 1–2.
[2]	AL-AZZEH J, FAURE E, SHCHERBA A, et al. Permutation-based frame synchronization method for data transmission systems with short packets[J]. Egyptian Informatics Journal, 2022, 23(3): 529–545. doi: 10.1016/j.eij.2022.05.005.
[3]	SON W, CHOI J, PARK S, et al. A time synchronization protocol for barrage relay networks[J]. Sensors, 2023, 23(5): 2447. doi: 10.3390/s23052447.
[4]	LI Xinhao, MA Tao, and QIAN Qishu. Frame synchronization method based on association rules for CNAV-2 messages[J]. Chinese Journal of Electronics, 2023, 32(2): 295–302. doi: 10.23919/cje.2021.00.148.
[5]	侯骁宇, 李天昀, 杨司韩. 分布式独特码TDMA信号的检测和频率估计[J]. 信号处理, 2018, 34(10): 1211–1220. doi: 10.16798/j.issn.1003-0530.2018.10.009. HOU Xiaoyu, LI Tianyun, and YANG Sihan. Detection and frequency estimation of distributed unique word TDMA signal[J]. Journal of Signal Processing, 2018, 34(10): 1211–1220. doi: 10.16798/j.issn.1003-0530.2018.10.009.
[6]	刘明. 一种改进的分段式互相关帧同步检测方法[J]. 通信技术, 2023, 56(6): 708–713. doi: 10.3969/j.issn.1002-0802.2023.06.006. LIU Ming. A modified segmental cross-correlation algorithm for frame synchronization detection[J]. Communications Technology, 2023, 56(6): 708–713. doi: 10.3969/j.issn.1002-0802.2023.06.006.
[7]	ZHANG Shengyuan, SUN Houteng, YUAN Jiangnan, et al. A practical method for blind detection of centralized unique word TDMA signal[C]. 2022 4th International Conference on Communications, Information System and Computer Engineering, Shenzhen, China, 2022: 7–10. doi: 10.1109/CISCE55963.2022.9851161.
[8]	QASEM Z A H, WANG Junfeng, KUAI Xiaoyan, et al. Enabling unique word OFDM for underwater acoustic communication[J]. IEEE Wireless Communications Letters, 2021, 10(9): 1886–1889. doi: 10.1109/LWC.2021.3085020.
[9]	D’AMICO A A and MORELLI M. Joint frame detection and channel parameter estimation for OOK free-space optical communications[J]. IEEE Transactions on Communications, 2022, 70(7): 4731–4744. doi: 10.1109/TCOMM.2022.3177768.
[10]	XU Yiyao, ZHONG Yang, and HUANG Zhiping. An improved blind recognition algorithm of frame parameters based on self-correlation[J]. Information, 2019, 10(2): 64. doi: 10.3390/info10020064.
[11]	KIL Y S, LEE H, KIM S H, et al. Analysis of blind frame recognition and synchronization based on sync word periodicity[J]. IEEE Access, 2020, 8: 147516–147532. doi: 10.1109/ACCESS.2020.3014426.
[12]	QIN Jiangyi, HUANG Zhiping, LIU Chunwu, et al. Novel blind recognition algorithm of frame synchronization words based on soft-decision in digital communication systems[J]. PLoS One, 2015, 10(7): e0132114. doi: 10.1371/journal.pone.0132114.
[13]	熊颢, 雷迎科, 吴子龙. 基于码元密度检测的帧同步码盲识别算法[J]. 探测与控制学报, 2021, 43(1): 73–78. XIONG Hao, LEI Yingke, and WU Zilong. Frame synchronization code blind recognition based on symbol density detection[J]. Journal of Detection & Control, 2021, 43(1): 73–78.
[14]	张玉, 杨晓静. 集中插入式帧同步识别方法[J]. 兵工学报, 2013, 34(5): 554–560. doi: 10.3969/j.issn.1000-1093.2013.05.007. ZHANG Yu and YANG Xiaojing. Recognition method of concentratively inserted frame synchronization[J]. Acta Armamentarii, 2013, 34(5): 554–560. doi: 10.3969/j.issn.1000-1093.2013.05.007.
[15]	邵堃, 雷迎科. 基于离散度分析的帧同步快速盲识别算法[J]. 信号处理, 2020, 36(3): 361–372. doi: 10.16798/j.issn.1003-0530.2020.03.006. SHAO Kun and LEI Yingke. Fast blind recognition algorithm of frame synchronization based on dispersion analysis[J]. Journal of Signal Processing, 2020, 36(3): 361–372. doi: 10.16798/j.issn.1003-0530.2020.03.006.
[16]	李歆昊, 张旻, 韩树楠. 基于多重分形谱的链路层协议帧同步字盲识别[J]. 电子与信息学报, 2017, 39(7): 1666–1672. doi: 10.11999/JEIT161045. LI Xinhao, ZHANG Min, and HAN Shunan. Frame synchronization word identification of link layer protocol based on multi-fractal spectrum[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1666–1672. doi: 10.11999/JEIT161045.
[17]	白彧, 杨晓静, 张玉. 基于高阶统计处理技术的m-序列帧同步码识别[J]. 电子与信息学报, 2012, 34(1): 33–37. doi: 10.3724/SP.J.1146.2011.00500. BAI Yu, YANG Xiaojing, and ZHANG Yu. A recognition method of m-sequence synchronization codes using higher-order statistical processing[J]. Journal of Electronics & Information Technology, 2012, 34(1): 33–37. doi: 10.3724/SP.J.1146.2011.00500.
[18]	KIL Y S, SONG J M, KIM S H, et al. Deep learning aided blind synchronization word estimation[J]. IEEE Access, 2021, 9: 30321–30334. doi: 10.1109/ACCESS.2021.3058351.
[19]	熊静华, 杨战平. 独特码及其编码原理研究[J]. 信息与电子工程, 2003, 1(2): 26–30. doi: 10.3969/j.issn.1672-2892.2003.02.006. XIONG Jinghua and YANG Zhanping. Study on unique signal and its coding principle[J]. Information and Electronic Engineering, 2003, 1(2): 26–30. doi: 10.3969/j.issn.1672-2892.2003.02.006.
[20]	何玉红. 基于双滑动窗的TDMA信号盲检测算法实现[J]. 通信技术, 2012, 45(6): 70–72. doi: 10.3969/j.issn.1002-0802.2012.06.021. HE Yuhong. Implementation of TDMA signal blind detection algorithm based on double sliding windows[J]. Communications Technology, 2012, 45(6): 70–72. doi: 10.3969/j.issn.1002-0802.2012.06.021.