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Performance Evaluation of Location Estimation System Using a Non Fixed Single Receiver
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  • Journal title : International Journal of Contents
  • Volume 10, Issue 4,  2014, pp.69-74
  • Publisher : The Korea Contents Association
  • DOI : 10.5392/IJoC.2014.10.4.069
 Title & Authors
Performance Evaluation of Location Estimation System Using a Non Fixed Single Receiver
Myagmar, Enkhzaya; Kwon, Soon-Ryang;
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General location aware systems are only applied to indoor and outdoor environments using more than three transmitters to estimate a fixed object location. Those kinds of systems have environmental restrictions that require an already established infrastructure. To solve this problem, an Object Location Estimation (OLE) algorithm based on PTP (Point To Point) communication has been proposed. However, the problem with this method is that deduction of performance parameters is not enough and location estimation is very difficult because of unknown restriction conditions. From experimental tests in this research, we determined that the performance parameters for restriction conditions are a maximum transmission distance of CSS communication and an optimum moving distance interval between personal locations. In this paper, a system applied OLE algorithm based on PTP communication is implemented using a CSS (Chirp Spread Spectrum) communication module. A maximum transmission distance for CSS communication and an optimum moving distance interval between personal locations are then deducted and studied to estimate a fixed object location for generalization.
Location Estimation;PTP;CSS;SDS-TWR;
 Cited by
Robin Wentao Ouyang, Albert Kai-Sun Wong, and Kam Tim Woo, "GPS Localization Accuracy Improvement by Fusing Terrestrial TOA Measurements," Proceedings of ICC, 2010, pp. 1-5.

Arsham Farshad, Jiwei Li, Mahesh K. Marina, and Francisco J. Garcia, "A Microscopic Look at WiFi Fingerprinting for Indoor Mobile Phone Localization in Diverse Environments," Proceedings of IPIN, 2013, pp. 28-31.

Mare Srbinovska, Cvetan Gavrovski, and Vladimir Dimcev, "Localization Estimation System Using Measurement of RSSI Based on Zigbee Standard," Proceedings of Electronics, 2008, pp. 24-26.

Yoon-Seok Nam, "Location Estimation of Mobile Devices in CSS WPANs," International Journal of Multimedia and Ubiquitous Engineering, vol. 9, no. 3, 2014, pp. 31-40.

Junyang Shen and Andreas F. Molisch, "Passive Location Estimation Using TOA Measurements," Proceedings of ICUWB, 2011, pp. 253-527.

Hong Tang, Yongwan Park, and Tianshuang Qiu, "A TOA-AOA-Based NLOS ErrorMitigationMethod for Location Estimation," EURASIP Journal on Advances in Signal Processing, vol. 2008, no. 86, 2008.

Liu Wei, Zou Jian, Wang Chunzhi, and Xu Hui, "Kalman Filter Localization Algorithm Based on SDS-TWR Ranging," vol. 11, no. 3, 2013, pp. 1436-1448.

E. Myagmar and S. R. Kwon, "An Angular Calculation based TOA Algoritm for Location Estimation by Point to Point Communication," Journal of KIISE: Computer System and Theory, vol. 38, no. 2, 2011, pp. 94-101.

E. Myagmar and S. R. Kwon, "Location Recognition Method based on PTP Communication", Journal of the Korea Contents Association, vol. 14, no. 3, 2014, pp. 33-39. crossref(new window)

S. H. Lim, E. Y. Woo, J. Y. Choi, H. S. Kong, E. Myagmar, and S. R. Kwon, "Location Guiding System by PTP Communication based on CSS," Proceedings of the Korea Multimedia Society Fall Conference, vol. 16, no. 2, 2013, pp. 113-115.