Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings

Research Article

LTE Antenna Port Number Detection Algorithm Based on Channel Estimation and Piecewise Linear Regression

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  • @INPROCEEDINGS{10.1007/978-3-030-32388-2_4,
        author={Pengchun Jiang and Mu Zhou},
        title={LTE Antenna Port Number Detection Algorithm Based on Channel Estimation and Piecewise Linear Regression},
        proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings},
        proceedings_a={MLICOM},
        year={2019},
        month={10},
        keywords={LTE system Antenna port number detection Cell reference signal Channel state information Piecewise linear regression},
        doi={10.1007/978-3-030-32388-2_4}
    }
    
  • Pengchun Jiang
    Mu Zhou
    Year: 2019
    LTE Antenna Port Number Detection Algorithm Based on Channel Estimation and Piecewise Linear Regression
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-32388-2_4
Pengchun Jiang1,*, Mu Zhou1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: 13368124190@163.com

Abstract

In LTE system, blind detection of traditional antenna port number detection generated a lot of computational redundancy and delay. To solve this problem, an improved detection algorithm based on channel estimation and piecewise linear regression is proposed. This algorithm fits the phase information of channel state and determines the number of antenna ports. The problem of decision error caused by phase jump is solved by piecewise. The theoretical analysis and simulation results show that the proposed algorithm has the advantages of low complexity and delay.