12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China

Research Article

LTE Antenna Port Number Detection Algorithm Based on Kalman Autoregression Filtering

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  • @INPROCEEDINGS{10.4108/eai.29-6-2019.2282056,
        author={Pengchun  Jiang and Zengshan  Tian and Mu  Zhou and Zhihao  Li},
        title={LTE Antenna Port Number Detection Algorithm Based on Kalman Autoregression Filtering},
        proceedings={12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2019},
        month={6},
        keywords={lte system antenna port number detection channel state information kalman autoregression},
        doi={10.4108/eai.29-6-2019.2282056}
    }
    
  • Pengchun Jiang
    Zengshan Tian
    Mu Zhou
    Zhihao Li
    Year: 2019
    LTE Antenna Port Number Detection Algorithm Based on Kalman Autoregression Filtering
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.29-6-2019.2282056
Pengchun Jiang1,*, Zengshan Tian1, Mu Zhou1, Zhihao Li1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: 13368124190@163.com

Abstract

In the LTE system, the traditional detection of number of antenna ports uses blind detection to decode the 1, 2, and 4 port numbers respectively until the system message in physical broadcast channel successfully passes the cyclic redundancy check. This method generates a large amount of computational redundancy and delay. In response to this problem, this paper proposes an improved Kalman autoregressive antenna port number detection algorithm. This algorithm obtains channel state information by extracting the cell reference signals corresponding to different antenna ports, performs Kalman autoregression on the phase information of channel states, and consequently determine the number of antenna ports. Theoretical analysis and simulation results show that the algorithm has low complexity, small delay and a high accuracy rate even when the residual frequency offset is relatively large.