Abstract
In this paper, we study the influence of multipath magnitude, bandwidth, and communication link number on the performance of the existing time-reversal (TR) based fingerprinting localization approach and find that the localization accuracy deteriorates with a limited bandwidth. To improve the localization performance, by exploiting two unique location-specified signatures extracted from Channel State Information (CSI), we propose a high accuracy TR fingerprint localization approach, HATRFLA. Furthermore, we employ a density-based spatial clustering algorithm to minimize the storage space of the fingerprint database by adaptively selecting the optimal number of fingerprints for each location. Experimental results confirm that the proposed approach can efficiently mitigate accuracy deterioration caused by a limited bandwidth and consequently, achieve higher accuracy compared with the existing TR localization approach.
Highlights
With the rapid development of communication technology, more and more electronic equipment is being connected to the Internet, which has led to a rise in innovative applications such as smart homes, smart cities, and so on
To mitigate the performance deterioration and improve performance when there is only a single available communication link with limited bandwidth, a high accuracy TR fingerprinting localization approach, HATRFLA, is proposed in this paper
We conducted experiments to evaluate the influence of factors on TR localization, and we found that the localization performance deteriorated sharply when the bandwidth was limited, e.g., 20 MHz
Summary
With the rapid development of communication technology, more and more electronic equipment is being connected to the Internet, which has led to a rise in innovative applications such as smart homes, smart cities, and so on. Compared with the RSS-based method, the CSI-based one can achieve higher precision in indoor localization This is because CSI contains signal strength information, and contains phase. WiFi-TRIPS, the measured CSI over multiple continuous/discontinuous channels is employed It was shown in [27] that the frequency diversity and the spatial diversity can be utilized to improve the localization precision. To highlight the proposal but without loss of generality, in our experiments, we only consider the simplest experimental setting, i.e., only a single communication link with a single 20 MHz channel under Non-Light Of Sight (NLOS) can be measured to obtain the CSI, which is common in life, but can be seen as a challenge for high accuracy localization.
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