A Tucker-2 Model Based Scheme for Joint Signal Detection and Channel Estimation in MIMO Systems

doi:10.13190/j.jbupt.2016.05.002

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (5): 6-10.doi: 10.13190/j.jbupt.2016.05.002

• Papers • Previous Articles Next Articles

A Tucker-2 Model Based Scheme for Joint Signal Detection and Channel Estimation in MIMO Systems

DU Jian-he¹, TIAN Pei¹, LIN He-yun²

1. School of Information and Engineering, Communication University of China, Beijing 100024, China;
2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-04-16 Online:2016-10-28 Published:2016-12-02

Abstract

Abstract: A Tucker-2 model based scheme for joint signal detection and channel estimation in multiple-input multiple-output (MIMO) systems was presented. At the source node, the proposed scheme uses three-way coding for each information symbol. This coding approach can achieve space and time diversity, and it makes the transmitted signal built-in blind detection property. The received signal at the destination node is formulated as a Tucker-2 model, and then two receiver algorithms are proposed for joint signal detection and channel estimation. The theory analysis and computer simulation shows that the proposed scheme can jointly estimate the signal and the instantaneous channel state information. Compared with existing approach of pilot symbol-assisted channel estimation, the proposed scheme has higher estimation accuracy.

Key words: multiple-input multiple-output, Tucker-2 model, diversity, blind detection, jointly estimate

CLC Number:

TN929.53

DU Jian-he, TIAN Pei, LIN He-yun. A Tucker-2 Model Based Scheme for Joint Signal Detection and Channel Estimation in MIMO Systems[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(5): 6-10.

References

[1] Zheng Lizhong, Tse D N C. Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels[J]. IEEE Transactions on Information Theory, 2003, 49(5): 1073-1096.
[2] Sidiropoulos N D, Giannakis G B, Bro R. Blind PARAFAC receivers for DS-CDMA systems[J]. IEEE Transactions on Signal Processing, 2000, 48(3): 810-823.
[3] Lahat D, Adali T, Jutten C. Multimodal data fusion: an overview of methods, challenges, and prospects[J]. Proceedings of the IEEE, 2015, 103(9): 1449-1477.
[4] Sidiropoulos N D, Budampati R S. Khatri-Rao space-time codes[J]. IEEE Transactions on Signal Processing, 2002, 50(10): 2396-2407.
[5] De Almeida A L F. Blind joint detection and channel estimationin space-frequency diversity systems using time-varying linear constellation precoding[C]//Proc Brazilian Telecommun. Symp (SBrT'11). Brazil:[s. n. ], 2011: 1-5.
[6] De Almeida A L F, Favier G. Double Khatri-Rao space-time-frequency coding using semi-blind PARAFAC based receiver[J]. IEEE Signal Processing Letters, 2013, 20(5): 471-474.
[7] Du Jianhe, Yuan Chaowei, Zhang Jinbo. Semi-blind parallel factor based receiver for joint symbol and channel estimation in amplify-and-forward multiple-input multiple-output relay systems[J]. IET Communications, 2015, 9(6): 737-744.
[8] Ximenes L R, Favier G, De Almeida A L F. Semi-blind receivers for non-regenerative cooperative MIMO communications based on nested PARAFAC modeling[J]. IEEE Transactions on Signal Processing, 2015, 63(18): 4985-4998.
[9] Favier G, De Almeida A L F. Overview of constrained PARAFAC models[J]. EURASIP Journal on Advances in Signal Processing, 2014, 2014(1): 1-25.
[10] Phan A H, Tichavsky P, Cichocki A. Tensor deflation for CANDECOMP/PARAFAC-part I: alternating subspace update algorithm[J]. IEEE Transactions on Signal Processing, 2015, 63(22): 5924-5938.

[1]	ZHU Jun, YANG Jun, LI Kai, YU Wenxin. 3D Ray Reconstruction Method Based on Enhanced CVAE [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(5): 36-41.
[2]	SUN Haohan, BIAN Yiming, LI Li, HUANG Yongmei, WU Jian. Experimental Study on Coupling Efficiency of Satellite-to-Ground Turbulence Link Based on Photonic Lanterns [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(3): 86-89.
[3]	LI Hu, WEI Zai-xue, CHENG Zhen-qiao, YANG Hong-wen. Hybrid Beamforming Based on Switch Structure for Millimeter Wave MIMO System Relying on Lens Antenna Arrays [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(4): 26-33.
[4]	JIN Ning, SONG Wei-jing, JIN Xiao-ping, CHEN Dong-xiao, WANG Jia-tian. Uncoded Space-Time Labeling Diversity Based on MBM [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 99-104.
[5]	LI Jun-yao, CHANG Yong-yu, ZENG Tian-yi. Channel Correlation Based LOS/NLOS Identification for 3D Massive MIMO Systems [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 1-7.
[6]	YANG Yang, LIU Yuan-an, WU Fan. An Asymmetric Feed Compact High Isolation Diversity Antenna [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(3): 51-57.
[7]	CHENG Zhen-qiao, WEI Zai-xue, YHANG Hong-wen. Hybrid Beamforming Based on OMP Algorithm for Massive MIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(5): 153-158.
[8]	WEI Min, TANG Wen-jie, TENG Ying-lei, CHEN Guang-quan, SONG Mei. A Hybrid Precoding Algorithm Based on Weighted Minimum Mean Square Error in Massive MIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(4): 63-68.
[9]	CHEN Ying, YIN Liang, SUN Jun, LI Shu-fang. Research on Channel Reciprocity of Massive MIMO Time Division Duplex System [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(3): 56-62.
[10]	SHEN Bin, ZHAO Shu-feng, HUANG Long-yang. Low-Complexity Soft-Output Signal Detection Based on Jacobi Iterative Method for Uplink Large-Scale MIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(5): 55-60.
[11]	SHEN Bin, WANG Qian, HUA Quan, ZHOU Ying-chao. Low-Complexity Joint Antenna Selection and User Scheduling Beamforming for Massive MIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(3): 56-61,84.
[12]	LIN He-yun, YUAN Chao-wei, DU Jian-he. Channel Estimation for OFDM Systems Via Reduced-Dimensional PARAFAC Method [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(3): 62-66.
[13]	ZHOU Jie, YUAN Mei, TANG Deng-hong. The Elliptical Scattering Channel Modeling Based on Von Mises Distribution [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(2): 36-42.
[14]	WANG Bin, CHANG Yong-yu, QUAN Wei, ZHANG Jian. Low-Complexity MMSE Detection Methods for Massive MIMO Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(6): 57-61.
[15]	SHEN Bin, HUA Quan, WANG Qian, ZHAO Shu-feng. Linear Signal Detection Based on Simplified Matrix Inversion in Massive MIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(6): 77-81.

A Tucker-2 Model Based Scheme for Joint Signal Detection and Channel Estimation in MIMO Systems

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments