DocumentCode :
82524
Title :
A Study of Localization Accuracy Using Multiple Frequencies and Powers
Author :
Xiuyuan Zheng ; Hongbo Liu ; Jie Yang ; Yingying Chen ; Martin, Richard P. ; Xiaoyan Li
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
Volume :
25
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
1955
Lastpage :
1965
Abstract :
Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter´s signal power and frequency. We first derive and analyze the Cramér-Rao Lower Bound (CRLB) of RSS-based localization based on the frequency dependent path loss propagation model that considers the transmitter´s signal power and frequency. The derived CRLB shows the feasibility of improving localization performance by applying frequency and power level selection for RSS-based localization. Using this analysis, we develop two new selection metrics based on the observed standard deviations of RSS as well as residuals. We then show a set of selection methods that attempt to select the combinations of power and frequencies which minimize the localization error in a representative class of localization algorithms. Our simulation results confirm the proposed selection methods can improve the localization accuracy under CRLB. Additionally, using active RFID tags, we experimentally characterize the effect of using multiple signal powers and frequencies on a wide spectrum of RSS-based algorithms. We found that the performance of all the algorithms improves when leveraging on multiple power levels and frequencies, although different algorithms present different sensitivity in terms of localization accuracy under different selection methods.
Keywords :
radiofrequency identification; signal processing; statistical analysis; Cramer-Rao lower bound; RFID tags; RSS localization performance; frequency dependent path loss propagation model; frequency level selection; localization accuracy; multipath environment; positioning infrastructures; power level selection; radiofrequency identification; received signal strength; standard deviation; wireless localization; Accuracy; Algorithm design and analysis; Bayes methods; Frequency dependence; Measurement; Propagation losses; Wireless localization; multiple frequency; multiple power level; received signal strength;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2013.281
Filename :
6656807
Link To Document :
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