Abstract：In the Time Division Long Term Evolution (TD-LTE) indoor distributed network, the signal differences among different positions are insignificant, thus accurate localization can not be achieved by reference point calibration. To solve this compelling problem, this paper proposes a correlation sequencing based localization algorithm. Firstly, the signal information among adjacent positions is utilized to construct Reference Signal Receiving Power (RSRP) motion sequence database. Next, correlation sequencing algorithm is conducted to obtain relation between real-time RSRP sequence and the ones in constructed database, which results in a set of candidate sequence. After that, the correlation coefficient and mean Euclidean distance between candidate sequences and the online one are calculated. Finally, the optimal candidate sequence is selected by a voting strategy to estimate target’s position. Experimental results show that the proposed localization algorithm can effectively improve the localization accuracy within indoor distributed antenna system.
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