Please wait a minute...
JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)  2018, Vol. 52 Issue (11): 2218-2225    DOI: 10.3785/j.issn.1008-973X.2018.11.021
Electronics and Communication Engineering     
I/Q imbalance calibration based on simulated annealing algorithm
HUANG Jia-jun, TENG Lai, ZHANG Chao-jie, WANG Chun-hui, PIAO Cheng-yong
Micro-satellite Research Center, Zhejiang University, Hangzhou 310027, China
Download:   PDF(1977KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

Zero intermediate frequency (Zero-IF) transmitter architecture is one of the most integrated transmitter architectures. However, the DC offset and I/Q imbalance, will not only greatly reduce the transmission efficiency, but also generate significant image interference signal, local oscillator leakage signal and interference signal with the same frequency as the useful signal. A new I/Q imbalance calibration method was proposed to solve the imbalance in the Zero-IF transmitter architecture. The feedback loop of the radio frequency front-end of the transmitter and the receiver was employed, and a closed loop search for the I/Q imbalance compensation factor using a simulated annealing algorithm (SAA) in the digital domain was applied to create the calibration method. The simulation results of this design in Simulink showed that the proposed method can effectively calibrate the I/Q imbalance under different intensities of additive Gaussian white noise. The required Zero-IF transmitter calibration experimental platform was buit based on the LMS7002M integrated transceiver chip. The experimental result showed that the proposed method had adaptability for temperature and frequency. The average image rejection reached -60.5 dBc at the temperature of -20~50℃, and the average image rejection reached -57.5 dBc under the frequency of 1 600~2 400 MHz.



Received: 02 January 2018      Published: 22 November 2018
CLC:  TN91  
Cite this article:

HUANG Jia-jun, TENG Lai, ZHANG Chao-jie, WANG Chun-hui, PIAO Cheng-yong. I/Q imbalance calibration based on simulated annealing algorithm. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(11): 2218-2225.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2018.11.021     OR     http://www.zjujournals.com/eng/Y2018/V52/I11/2218


基于模拟退火算法的I/Q不平衡校正

零中频发射机架构是目前集成度最高的发射机架构之一,直流偏置不平衡和I/Q不平衡的问题会大大降低其发射效率,并且会产生显著的镜像干扰信号、本振泄露信号和与有用信号同频的干扰信号.为了解决零中频发射机架构的I/Q不平衡问题,提出利用发射机和接收机射频前端的反馈回路,在数字域使用模拟退火算法(SAA)对I/Q不平衡的补偿因子进行闭环搜索,提出I/Q不平衡校正的新方法.在Simulink软件中进行建模仿真,模拟结果表明,所提方法在不同强度的高斯白噪声条件下能够有效地对I/Q不平衡进行校正.在LMS7002M集成式收发芯片的基础上,搭建了所需要的零中频发射机校正实验平台.实验结果表明,所提方法具有良好的温度适应性和频率适应性,在-20~50℃的温度条件下,所提方法的平均镜像抑制度为-60.5 dBc;在1 600~2 400 MHz的频率条件下,平均镜像抑制度为-57.5 dBc.

[1] 李明. 微小卫星发展的若干思考[J]. 航天器工程, 2016, 25(6):1-5. LI Ming. Perspective on development of micro-small satellites[J]. Spacecraft Engineering, 2016, 25(26):1-5.
[2] 宗可, 曹桂兴, 闫忠文. 数据通信微小卫星星座系统的发展及应用[J]. 航天器工程, 2011(2):66-71 ZONG Ke, CAO Gui-xing, YAN Zhong-wen. Development and application of data communication microsatellite constellation system[J]. Spacecraft Engineering, 2011(2):66-71
[3] 李亮, 王洪, 刘良玉,等. 微小卫星星座与编队技术发展[J]. 空间电子技术, 2017, 14(1):1-3 LI Liang, WANG Hong, LIU Liang-yu, et al. Development of micro-satellite constellation and formation technologies[J]. Space Electronic Technology, 2017, 14(1):1-3
[4] ROSE R, RUF C, ROSE D, et al. The CYGNSS flight segment; A major NASA science mission enabled by micro-satellite technology[C]//Aerospace Conference. Big Sky:IEEE, 2013:1-13.
[5] FERNÁNDEZ F A. Inter-satellite ranging and inter-satellite communication links for enhancing GNSS satellite broadcast navigation data[J]. Advances in Space Research, 2011, 47(5):786-801.
[6] 戚秀真. 零中频发射机设计与实现[J]. 电子科技, 2014, 27(3):73-76 QI Xiu-zhen. Design and implement of zero intermediate frequency transmitters[J]. Electronic Science and Technology, 2014, 27(3):73-76
[7] HSU C J, SHEEN W H. Joint calibration of transmitter and receiver impairments in direct-conversion radio architecture[J]. IEEE Transactions on Wireless Communications, 2012, 11(2):832-841.
[8] GU C F, LAW C L, WU W. Time domain IQ imbalance compensation for wideband wireless systems[J]. IEEE Communications Letters, 2010, 14(6):539-541.
[9] WANG J, YU H, WU Y, et al. Pilot optimization and power allocation for OFDM-based full-duplex relay networks with IQ-imbalances[J]. IEEE Access, 2017, 5:24344-24352.
[10] SHU F, WANG J, LI J, et al. Pilot optimization, channel estimation and optimal detection for full-duplex OFDM systems with IQ-imbalances[J]. IEEE Transactions on Vehicular Technology, 2017, 66(8):6993-7009.
[11] SHU F, ZHAO J H, YOU X H, et al. An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances[J]. Science China Information Sciences, 2012, 55(11):2604-2610.
[12] 李建宇. 射频单片集成应答机设计与实现[D]. 杭州:浙江大学, 2014:22-41. LI Jian-yu. Design and implementation of a RF monolithic integrated transponder[D]. Hangzhou:Zhejiang University, 2014:22-41.
[13] 邹世源, 刘久文, 阳辉. 数字域校正零中频发射机IQ不平衡的研究[J]. 电视技术, 2013, 37(23):163-166 ZOU Shi-yuan, LIU Jiu-wen, YANG Hui. Research of compensating zero-IF modulator IQ imbalance in digital domain[J]. Video Engineering, 2013, 37(23):163-166
[14] RUTENBAR R A. Simulated annealing algorithms:an overview[J]. Circuits and Devices Magazine IEEE, 2015, 5(1):19-26.
[15] DEBNATH S, TAMULI M, RAY A, et al. A review on accelerating scientific computations using the Conjugate Gradient method[C]//International Conference on Electronic Design, Computer Networks and Automated Verification. Shillong:IEEE, 2015:150-153.
[16] 张朝杰, 金小军, 郑阳明,等. 基于CORDIC算法的微小卫星接收机设计及实现[J]. 浙江大学学报:工学版, 2008, 42(6):960-964 ZHANG Chao-jie, JIN Xiao-jun, ZHENG Yang-ming, et al. Design and implementation of micro-satellite receiver using CORDIC algorithm[J]. Journal of Zhejiang University:Engineering Science, 2008, 42(6):960-964
[17] CHAU M, FU M C, QU H, et al. Simulation optimization:a tutorial overview and recent developments in gradient-based methods[C]//Winter Simulation Conference. Savanah:IEEE, 2015:21-35.
[18] SUMAN B, HODA N, JHA S. Orthogonal simulated annealing for multiobjective optimization[J]. Computers and Chemical Engineering, 2010, 34(10):1618-1631.
[19] LALAOUI M, AFIA A E, CHIHEB R. Hidden Markov model for a self-learning of simulated annealing cooling law[C]//International Conference on Multimedia Computing and Systems. Marrakech:IEEE, 2017:558-563.
[20] DIEKER A B, SALIOLA F V. Spectral analysis of random-to-random Markov chains[J]. Advances in Mathematics. 2018, 323:427-485.
[21] ZHOU E, CHEN X. Sequential Monte Carlo simulated annealing[J]. Journal of Global Optimization, 2013, 55(1):101-124.
[22] LEKD, NGUYEN H P, NGUYEN D N, et al. Simulink model and FPGA-based OFDM communication system:a simulation and hardware integrated platform[J]. International Journal of Modeling Simulation and Scientific Computing, 2010, 1(3):369-404.

[1] YU Jian-bo, LI Chuan-feng, LV Jing-xiang. Average combination difference morphological filter analysis on fault signals of rolling bearing[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(10): 1845-1853.
[2] HAO Jing, DU Tai-hang, JIANG Chun-dong, CHEN Tong-hai. Strengthening strategy of parameter-tuning cascaded stochastic resonance[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(10): 2084-2092.
[3] XU Wen-yuan, MENG Jun, ZHAO Xi-meng. Non-contact monitoring of ambulatory blood pressure based on high speed camera[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(10): 2077-2083.
[4] BANG Cen, DIAO Min-Jian, ZHENG Ya-Min. Fast carrier synchronization in TCM-8PSK shortpacket
fast  frequencyhopping system
[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2010, 44(4): 625-631.
[5] TANG Jun, JIN Xin-Yu, ZHANG Yu. Task allocation algorithm for video sensor networks based on coordinates[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2010, 44(4): 670-674.
[6] XU Miao, LI Shi-Ju, YANG Zhi-Min. Binary base-band signal processing using adaptive stochastic resonance[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2010, 44(4): 692-695.
[7] KONG Xiang-Jie, CHEN Guo-Jiang, LIANG Tong-Hai. Intelligent coordinated control of traffic flow on road network  with bus-priority[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2009, 43(6): 1026-1031.
[8] GU Yu-Jie, SHI Chi-Guo, LI Yu, et al. Secondary sample based Bayesian beamforming[J]. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2009, 43(5): 812-816.