一种新的IQ不平衡频域估计与补偿算法

doi:10.11959/j.issn.1000-0801.2016176

Abstract

Abstract:

To solve the problem of deterioration of system performance for the RF front-end distortion and IQ imbalance in orthogonal frequency division multiplexing（OFDM）system，a novel IQ imbalance frequency domain estimation and compensation algorithm was proposed.The effect of channel could be offset，the complexity of algorithm could be reduced and the implemention conld be achieved easily using two different pilot signals on one sub-carrier.The simulation results show that the algorithm not only greatly reduces the computational complexity，but also gets a better estimation and compensation performance，and the performance is better than traditional algorithms.

Key words: OFDM, IQ imbalance, complexity

Wenjie NI,Wei CAO,Kai KANG. A novel frequency-domain IQ imbalance estimation and compensation algorithm[J]. Telecommunications Science, 2016, 32(8): 104-109.

Figures/Tables 6

References 10

[1]	全会阁 . 直接变频接收机研究与实现[D]. 长沙:湖南大学, 2007. QUAN H G . Direct conversion receiver research and implementation[D]. Changsha:Hunan University, 2007.
[2]	TARIGHAT A , SAYED A H . Joint compensation of transmitter and receiver impairments in OFDM systems[J]. IEEE Transactions on Wireless Communications, 2007,6(1): 240-247.
[3]	TARIGHATA A , BAGHERI R , SAYED A H . Compensation schemes and performance analysis of IQ imbalances in OFDM receivers[J]. IEEE Transactions on Signal Processing, 2005,53(8): 3257-3268.
[4]	MOHAMMED A , JALLOUL L . IQ imbalance estimation using broadcast signals:2015/0103960 A1[P]. 2005-04-16.
[5]	INAMORI M , BOSTAMAM A M , SANADA Y ,et al. IQ imbalance compensation scheme in the presence of frequency offset and dynamic DC offset for a direct conversion receiver[C]// Vehicular Technology Conference,April 26-29,2009, Barcelona,Spain. New Jersey： IEEE Press, 2009: 1-5.
[6]	DE R S , LOPEZ-ESTRAVIZ E , HORLIN F ,et al. Joint estimation of carrier frequency offset and IQ imbalance for 4G mobile wireless systems[C]// IEEE International Conference on Communications,June 4-8,2006, Istanbul,Turkey. New Jersey： IEEE Press, 2006: 2066-2071.
[7]	TANABE Y , EGASHIRA Y , AOKI T ,et al. Suitable MIMO-OFDM decoders to compensate IQ imbalance[C]// Wireless Communications and Networking Conference,March 3-5,2007, Kowloon,Hong Kong,China. New Jersey： IEEE Press, 2007: 863-868.
[8]	梁彦, 束锋, 史夏洁 . 正交频分复用系统发射机接收机同相/正交不平衡补偿算法[J]. 南京理工大学学报, 2012,36(3): 465-469. LIANG Y , SHU F , SHI X J . Orthogonal frequency division multiplexing system transmitter receiver IQ imbalance compensation algorithm[J]. Journal of Nanjing University, 2012,36(3): 465-469.
[9]	ZHANG W , DE L R C , PAN C ,et al. Widely linear block-diagonalization type precoding in massive MIMO systems with IQ imbalance[C]// 2015 IEEE International Conference on Communications(ICC),June 8-12,2015, London,UK. New Jersey： IEEE Press, 2015.
[10]	IEEE. Part 11:Wireless LAN medium access control(MAC)and physical layer(PHY)specifications[J]. IEEE in the 5-GHz Band, 2007: C1-1184.

Metrics

Recommended 0

No Suggested Reading articles found!

[1]	Haijiang GE, Ning JIA, Kaikai CHI, Yunzhi CHEN. Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks [J]. Telecommunications Science, 2023, 39(2): 103-117.
[2]	Jie ZHOU, Bernardo Esono Esono Mikue, Xueying WANG, Huiting ZHOU, Hong LUO. PAPR optimization based on SLM and PTS algorithms in NC-OFDM systems [J]. Telecommunications Science, 2022, 38(7): 63-74.
[3]	Hanyang LI, Weiwen WENG, Nan LI, Long ZHANG, Jinxia CHENG. Research of 5G NR RedCap technology [J]. Telecommunications Science, 2022, 38(3): 93-101.
[4]	Xinrong LYU, Youming LI, Yongqing WU, Xiaobo TANG. Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system [J]. Telecommunications Science, 2022, 38(2): 25-34.
[5]	Liang YIN, Rui LIN, Xiaolei WANG, Yuliang YAO, Lin ZHOU, Yuan HE. Low complexity radar signal classification based on spectrum shape [J]. Telecommunications Science, 2022, 38(1): 25-35.
[6]	Peichang ZHANG, Wannian AN, Shida ZHONG, Lei HUANG, Chunsheng ZHUANG, Wei ZHANG. A novel low-complexity two-tier group antenna selection algorithm [J]. Telecommunications Science, 2021, 37(7): 67-76.
[7]	Li ZHOU, Xiqing LIU. Transceiver design and performance analysis for uplink SCMA based on CP-free OFDM [J]. Telecommunications Science, 2021, 37(6): 23-32.
[8]	Nannan LI, Yu HAN, Ning GAO, Shi JIN. Joint amplitude and phase partition based physical layer key generation method [J]. Telecommunications Science, 2021, 37(5): 100-112.
[9]	Jiaojiao WANG, Zhen SHAO, Guojin HUANG. Multi-user coordination technology [J]. Telecommunications Science, 2021, 37(4): 132-139.
[10]	Jie ZHANG, Lihua YANG, Zenghao WANG, Bo HU, Qian NIE. A novel deep learning based time-varying channel prediction method [J]. Telecommunications Science, 2021, 37(1): 39-47.
[11]	Lu CHENG,Lihua YANG,Zenghao WANG,Jie ZHANG,Yan LIANG. Historical information based iterative soft Kalman time-varying channel estimation method [J]. Telecommunications Science, 2020, 36(9): 23-31.
[12]	Jiafeng QIU. Low-complexity beamspace channel estimation for wideband millimeter-wave massive MIMO system [J]. Telecommunications Science, 2020, 36(8): 122-129.
[13]	Jiafeng QIU. Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion [J]. Telecommunications Science, 2020, 36(4): 99-106.
[14]	Yuanyuan DONG, Yujie ZHANG, Hua Li, Chunlei WANG, Xiaofei LIU, Xiaoming DAI. Key technologies of non-orthogonal multiple access for 5G systems [J]. Telecommunications Science, 2019, 35(7): 27-36.
[15]	Dong ZHOU,Haiyan CAO,Fangmin XU,Xin FANG,Xiumin WANG. A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems [J]. Telecommunications Science, 2019, 35(3): 69-75.

A novel frequency-domain IQ imbalance estimation and compensation algorithm

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 10

Related Articles 15

Metrics

Recommended 0