Narrowband Distance Evaluation Technique for Indoor Positioning Systems based on Zadoff-Chu Sequences

被引：0
作者：
Piccinni, G. [1 ]
Avitabile, G. [1 ]
Coviello, G. [1 ]
机构：
[1] Polytech Bari, Elect & Informat Dept DEI, I-70126 Bari, Italy
来源：
2017 IEEE 13TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB) | 2017年
关键词：
Distance measurement; Indoor Localization; OFDM modulation; Positioning system; Zadoff-Chu sequence;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A rugged method for distance estimation based on an OFDM signal combined with the Zadoff-Chu sequences is introduced. A software algorithm extracts a coarse distance in time domain exploiting the Zadoff-Chu properties. The distance, then, is fine adjusted evaluating the time offset from the subcarriers phase. Several tests were performed in laboratory considering a very harsh indoor environment and using a pair of Right-Hand circularly polarized helical antennas in order to demonstrate the technique effectiveness. The system is able to estimate the distance with a very good level of precision and accuracy with only 50 MHz of signal bandwidth. In fact, the results show a maximum error of 1.23 cm, in distance estimation, and a maximum standard deviation of 0.8 cm. The proposed technique can be used in the implementation of indoor positioning systems.
引用
收藏
页码：624 / 628
页数：5
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