频谱聚合中非数据辅助的幅频相估计与补偿

doi:10.13190/j.jbupt.2021-030

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (5): 35-40.doi: 10.13190/j.jbupt.2021-030

频谱聚合中非数据辅助的幅频相估计与补偿

陈建梅¹, 仇洪冰¹, 郑霖^1,2, 杨超¹

1. 桂林电子科技大学广西无线宽带通信和信号处理重点实验室, 桂林 541004;
2. 通信网信息传输与分发技术重点实验室, 石家庄 050081

收稿日期:2021-03-26 出版日期:2021-10-28 发布日期:2021-09-06
通讯作者: 郑霖(1973-),男,教授,博士生导师,E-mail:cnzlin@guet.edu.cn. E-mail:cnzlin@guet.edu.cn
作者简介:陈建梅(1993-),女,博士生.
基金资助:
广西自然科学基金项目（2020GXNSFAA159067）；认知无线电与信息处理重点实验室基金项目（CRKL200102，CRKL200105）；通信网信息传输与分发技术重点实验室资助项目（SCX20641X001）

Non-Data-Aided Estimation and Compensation of Amplitude, Frequency and Phase for Spectrum Combination

CHEN Jian-mei¹, QIU Hong-bing¹, ZHENG Lin^1,2, YANG Chao¹

1. Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China;
2. Science and Technology on Communication Networks Laboratory, Shijiazhuang 050081, China

Received:2021-03-26 Online:2021-10-28 Published:2021-09-06

摘要/Abstract

摘要： 认知无线电中宽带信号需采用频谱分割与聚合滤波器组技术实现对频谱空穴的高效利用.由于不同子频谱的幅频相受到无线信道的干扰，在接收端子谱聚合时，幅、频、相误差对聚合信号会产生畸变，导致检测性能恶化.对此，提出了基于非数据辅助的幅、频、相失真估计补偿算法，利用相邻子频谱在过渡带内的幅频相一致性特点，在频域进行过渡带内信号的对齐处理，从而在子频谱聚合之前修正幅度、频率和相位，以恢复原信号谱.仿真结果表明，该算法能够有效地解决因分割子频谱在信道传输过程中造成的幅频相失真问题，系统解调的误码率性能接近相同系统参数下常规的导频估计算法，所提算法具有较高的估计精度和高效的频谱利用率.

关键词: 频域分割与聚合滤波器组, 幅频相一致特性, 非数据辅助

Abstract: In cognitive radios,broadband signals need to be applied with spectrum division and combination filter banks to efficiently utilize spectrum holes. As the amplitude,frequency and phase of different sub-spectra are interfered by the wireless channel,when the sub-spectra are combined,the amplitude,frequency and phase errors distort the recombination signal,leading to the degradation of detection perfor-mance. A non-data-aided estimation and compensation algorithm is proposed. By utilizing the amplitude-frequency-phase consistency between adjacent sub-spectra in the transition band and performing the alignment process in the frequency domain,the amplitude,frequency and phase are modified before sub-spectra combination to recover the original signal. Simulation results show that the proposed algorithm can effectively solve the amplitude-frequency-phase distortion caused by sub-spectra segmentation. The bit error rate performance of the proposed algorithm is close to that of the pilot estimation algorithm with the same system parameters. The proposed algorithm can not only obtain high-precision amplitude-frequency-phase estimation and compensation,but also utilize spectrum efficiently.

Key words: spectrum division and combination filter banks, amplitude-frequency-phase consistent characteristics, non-data-aided estimation

中图分类号:

TN911.72

陈建梅, 仇洪冰, 郑霖, 杨超. 频谱聚合中非数据辅助的幅频相估计与补偿[J]. 北京邮电大学学报, 2021, 44(5): 35-40.

CHEN Jian-mei, QIU Hong-bing, ZHENG Lin, YANG Chao. Non-Data-Aided Estimation and Compensation of Amplitude, Frequency and Phase for Spectrum Combination[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(5): 35-40.

参考文献

[1] Ali A, Hamouda W. Advances on spectrum sensing for cognitive radio networks:theory and applications[J]. IEEE Communications Surveys & Tutorials, 2017, 19(2):1277-1304.
[2] Mahmoud H A, Yucek T, Arslan H. OFDM for cognitive radio:merits and challenges[J]. IEEE Wireless Communications, 2009, 16(2):6-15.
[3] Ni Chunxing, Jiang Tao, Peng Wei. Joint PAPR reduction and sidelobe suppression using signal cancelation in NC-OFDM-based cognitive radio systems[J]. IEEE Transactions on Vehicular Technology, 2015, 64(3):964-972.
[4] Bogucka H, Kryszkiewicz P, Kliks A. Dynamic spectrum aggregation for future 5G communications[J]. IEEE Communications Magazine, 2015, 53(5):35-43.
[5] Zafar A, Imran M A, Pei Xiao, et al. Performance evaluation and comparison of different multicarrier modulation schemes[C]//IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks. Guildford:IEEE Press, 2015:49-53.
[6] Abe J, Yamashita F, Kobayashi K. Direct spectrum division transmission for highly efficient satellite communications[C]//Advanced Satellite Multimedia Systems Conference. Cagliari:IEEE Press, 2010:401-406.
[7] Liang Lili. Design of low-redundant cosine-modulated nonuniform filter bank with flexible frequency division[J]. Circuits Systems and Signal Processing, 2019, 38(5):2297-2319.
[8] Rahimi S, Champagne B. Joint channel and frequency offset estimation for oversampled perfect reconstruction filter bank transceivers[J]. IEEE Transactions on Communications, 2014, 62(6):2009-2021.
[9] Alfredsson A F, Agrell E, Wymeersch H, et al. Pilot-aided joint-channel carrier-phase estimation in space-division multiplexed multicore fiber transmission[J]. Journal of Lightwave Technology, 2019, 37(4):1133-1142.
[10] Fan Lei,Qi Guoqing,Liu Jian.Synthetic estimation method of sinusoid frequency based on segmented-FFT phase difference method and Quinn method[J].ICIC Express Letters,2012,6(9):2331-2338.
[11] Li Tianqi, Zhang Yu, Tang Bo. An improved DFT frequency offset estimation algorithm with high accuracy[C]//Information Technology, Networking, Electronic and Automation Control Conference. Chengdu:IEEE Press, 2019:175-179.
[12] Zhang Weile, Yin Qinye. Blind maximum likelihood carrier frequency offset estimation for OFDM with mul-tiantenna receiver[J]. IEEE Transactions on Signal Processing, 2013, 61(9):2295-2307.
[13] Yang Liu, Zhang Hang, Cai Yang, et al. Blind carrier frequency offset estimation for MIMO-OFDM systems based on the banded structure of covariance matrices for constant modulus signals[J]. IEEE Access, 2018, 6:51804-51813.
[14] Abe J, Nakahira K, Kobayashi K. A blind phase compensation method for direct spectrum division transmi-ssion[C]//IEEE Global Telecommunications Confe-rence. Houston:IEEE Press, 2011:1-5.

频谱聚合中非数据辅助的幅频相估计与补偿

Non-Data-Aided Estimation and Compensation of Amplitude, Frequency and Phase for Spectrum Combination

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