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Sensors 2014, 14(4), 7541-7562; doi:10.3390/s140407541
Article

The Enhanced Locating Performance of an Integrated Cross-Correlation and Genetic Algorithm for Radio Monitoring Systems

1
, 2
 and 2,*
Received: 14 March 2014; in revised form: 20 April 2014 / Accepted: 21 April 2014 / Published: 24 April 2014
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Abstract: The rapid development of wireless broadband communication technology has affected the location accuracy of worldwide radio monitoring stations that employ time-difference-of-arrival (TDOA) location technology. In this study, TDOA-based location technology was implemented in Taiwan for the first time according to International Telecommunications Union Radiocommunication (ITU-R) recommendations regarding monitoring and location applications. To improve location accuracy, various scenarios, such as a three-dimensional environment (considering an unequal locating antenna configuration), were investigated. Subsequently, the proposed integrated cross-correlation and genetic algorithm was evaluated in the metropolitan area of Tainan. The results indicated that the location accuracy at a circular error probability of 50% was less than 60 m when a multipath effect was present in the area. Moreover, compared with hyperbolic algorithms that have been applied in conventional TDOA-based location systems, the proposed algorithm yielded 17-fold and 19-fold improvements in the mean difference when the location position of the interference station was favorable and unfavorable, respectively. Hence, the various forms of radio interference, such as low transmission power, burst and weak signals, and metropolitan interference, was proved to be easily identified, located, and removed.
Keywords: angle of arrival (AOA); time difference of arrival (TDOA); integrated cross-correlation and genetic algorithm (integrated CCGA); International Telecommunications Union Radiocommunication (ITU-R); Federal Communications Commission (FCC) angle of arrival (AOA); time difference of arrival (TDOA); integrated cross-correlation and genetic algorithm (integrated CCGA); International Telecommunications Union Radiocommunication (ITU-R); Federal Communications Commission (FCC)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chang, Y.-T.; Wu, C.-L.; Cheng, H.-C. The Enhanced Locating Performance of an Integrated Cross-Correlation and Genetic Algorithm for Radio Monitoring Systems. Sensors 2014, 14, 7541-7562.

AMA Style

Chang Y-T, Wu C-L, Cheng H-C. The Enhanced Locating Performance of an Integrated Cross-Correlation and Genetic Algorithm for Radio Monitoring Systems. Sensors. 2014; 14(4):7541-7562.

Chicago/Turabian Style

Chang, Yao-Tang; Wu, Chi-Lin; Cheng, Hsu-Chih. 2014. "The Enhanced Locating Performance of an Integrated Cross-Correlation and Genetic Algorithm for Radio Monitoring Systems." Sensors 14, no. 4: 7541-7562.



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