基于扩展卡尔曼滤波的MIMO迭代信道估计方法

doi:10.11959/j.issn.1000-0801.2017206

Abstract

Abstract:

In high-speed environment,fast fading and non-stationary limits the channel estimation performance,so a channel estimation method for high-speed mobility in MIMO downlink was proposed.A self-feedback extended Kalman filter (EKF) was set up to track the channel response and correlation parameters.An iterative detector & decoder receiver was adopted to deal with the problem that the observation equation is an underdetermined equation.The simulation results show that compared with least squares(LS) in high speed environment,the proposed method improves the channel estimation accuracy and performance of whole system.And it could be applied in baseband signal processing of wireless receiver in high-speed train.

Key words: multiple input multiple output, orthogonal frequency division multiplexing, high-speed mobility,non-stationary channel estimation, extended Kalman filter

CLC Number:

TN911

Mingfu LI,Yong LIAO,Xuanfan SHEN. MIMO iterative channel estimation based on extended Kalman filter[J]. Telecommunications Science, 2017, 33(9): 100-107.

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[1]	BI Y , ZHANG J , ZENG M ,et al. Channel modeling and estimation for OFDM systems in high-speed trains scenarios[C]// IEEE Vehicular Technology Conference,May 15-18,2016,Nanjing,China. New Jersey:IEEE Press, 2016: 1-6.
[2]	REN X , TAO M , CHEN W . Compressed channel estimation with position-based ICI elimination for high-mobility SIMO-OFDM systems[J]. IEEE Transactions on Vehicular Technology, 2015,6(7): 6204-6217.
[3]	WANG C X , GHAZAL A , AI B ,et al. Channel measurements and models for high-speed train communication systems:a survey[J]. IEEE Communications Surveys ＆ Tutorials, 2015,18(2): 1-13.
[4]	LIANG X , ZHAO X , LI Y ,et al. A non-stationary geometry-based street scattering model for vehicle-to-vehicle wideband MIMO channels[J]. Wireless Personal Communications, 2016,90(1): 1-14.
[5]	WU S , WANG C X , HAAS H ,et al. A non-stationary wideband channel model for massive MIMO communication systems[J]. IEEE Transactions on Wireless Communications, 2015,14(3): 1434-1446.
[6]	GHAZAL A , WANG C X , HAAS H ,et al. A non-stationary MIMO channel model for high-speed train communication systems[C]// 2012 IEEE Vehicular Technology Conference,May 6-9,2012,Yokohama,Japan. New Jersey:IEEE Press, 2012: 1-5.
[7]	DAI X , ZHANG W , XU J ,et al. Kalman interpolation filter for channel estimation of LTE downlink in high-mobility environments[J]. Eurasip Journal on Wireless Communications ＆ Networking, 2012(1): 1-14.
[8]	BONNET J , AUER G . Optimized iterative channel estimation for OFDM[C]// IEEE Vehicular Technology Conference,Sept 25-28,2006,Montreal,Canada. New Jersey:IEEE Press, 2006: 1-5.
[9]	SIMON E P , KHALIGHI M A . Iterative soft-Kalman channel estimation for fast time-varying MIMO-OFDM channels[J]. IEEE Wireless Communication Letters, 2013,2(6): 599-602.
[10]	HAN K Y , LEE S W , LIM J S ,et al. Channel estimation for OFDM with fast fading channels by modified Kalman filter[J]. IEEE Transactions on Consumer Electronics, 2004,50(2): 443-449.
[11]	GHANDOUR-HAIDAR S , ROS L , BROSSIER J M . On the use of first-order autoregressive modeling for Rayleigh flat fading channel estimation with Kalman filter[J]. Signal Processing, 2012,92(2): 601-606.
[12]	ZARRINKOUB D H . Understanding LTE with MATLAB:from mathematical modeling to simulation and prototyping[M]. Hoboken: Wiley PublishingPress, 2014.
[13]	方昕, 刘云驹, 曹海燕 ,等. 大规模 MIMO 系统中低复杂度的稀疏信道估计[J]. 电信科学, 2016,32(5): 89-95.
	FANG X , LIU Y J , CAO H Y ,et al. Low-complexity sparse channel estimation for massive MIMO systems[J]. Telecommunications Science, 2016,32(5): 89-95.
[14]	赵雄文, 高波 . MIMO 信道仿真模型比较及其验证[J]. 电信科学, 2016,32(2): 75-82.
	ZHAO X W , GAO B . Comparisons and validations on MIMO channel simulation models[J]. Telecommunications Science, 2016,32(2): 75-82.

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参数	数值
MIMO配置	2×2
系统带宽/MHz	5
载波频率/GHz	2.8
调制方式	16QAM
衰落模型	瑞利衰落
多径时延/μs	0 1.3 2.6 3.9 4.2]
路径增益/dB	-2.7-4.4-11.1-18.5-18.2]
移动速度/(km·h^-1)	50,300

算法	复杂度
LS+线性插值	NI+2N _S
LMMSE+样条插值	4（N_S）³+NI+N_S
EKF	（（4N_S）²+12N_S+K ²+N）I
IDD-EKF	（（4N_S）²+12N_S+K ²+N）IM

MIMO iterative channel estimation based on extended Kalman filter

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