Indoor localization based on curve fitting and location search using received signal strength

IEEE Transactions on Industrial Electronics

Volumn 62, Issue 1, 2015, Pages 572-582

  Wang, Bang ^a   Zhou, Shengliang ^a,b   Liu, Wenyu ^a   Mo, Yijun ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b MEIZU Technology Company   (China)

Author keywords

Curve fitting (CF); indoor localization; location search; subarea division

Indexed keywords

ALGORITHMS; MOBILE COMPUTING; MOBILE DEVICES; RSS; WIRELESS LOCAL AREA NETWORKS (WLAN);

DISTANCE FUNCTIONS; INDOOR LOCALIZATION; LOCALIZATION ACCURACY; LOCALIZATION ALGORITHM; ONLINE POSITIONING; RECEIVED SIGNAL STRENGTH; SEARCH ALGORITHMS; SUBAREA DIVISION;

CURVE FITTING;

EID: 84919936102     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2014.2327595     Document Type: Article

References (43)

1. X. Luo, W. J. O'Brien, and C. L. Julien, "Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites," Adv. Eng. Inf., vol. 25, no. 2, pp. 355-363, Apr. 2011.
2. P. Lin, Q. Li, Q. Fan, X. Gao, and S. Hu, "A real-time location-based services system usingWiFi fingerprinting algorithm for safety risk assessment of workers in tunnels," Math. Prob. Eng., vol. 2014, pp. 371 456-1-371 456-10, 2014.
3. S. Y. Jeong, H. G. Jo, and S. J. Kang, "Fully distributed monitoring architecture supporting multiple trackees and trackers in indoor mobile asset management application," Sensors, vol. 14, no. 3, pp. 5702-5724, Mar. 2014.
4. F. Schrooyen et al., "Real time location system over wifi in a healthcare environment," J. Inf. Technol. Healthcare, vol. 4, no. 6, pp. 401-416, 2006.
5. E. Inc., Ekahau Solutions for Healthcare, 2014, (accessed on May 4, 2014). [Online]. Available: http://www.ekahau.com
6. L. Pei et al., "Using inquiry-based bluetooth rssi probability distributions for indoor positioning," J. Glob. Positioning Syst., vol. 9, no. 2, pp. 122-130, 2010.
7. M. S. Bargh and R. de Groote, "Indoor localization based on response rate of bluetooth inquiries," in Proc. ACM Int. Workshop Mobile Entity Localization Tracking GPS-Less Environ., 2008, pp. 49-54.
8. S. J. Kim and B. K. Kim, "Dynamic ultrasonic hybrid localization system for indoor mobile robots," IEEE Trans. Ind. Electron., vol. 60, no. 10, pp. 4562-4573, Oct. 2013.
9. K. H. Choi, W.-S. Ra, S.-Y. Park, and J. B. Park, "Robust least squares approach to passive target localization using ultrasonic receiver array," IEEE Trans. Ind. Electron., vol. 61, no. 4, pp. 1993-2002, Apr. 2014.
10. S. Park and S. Hashimoto, "Autonomous mobile robot navigation using passive rfid in indoor environment," IEEE Trans. Ind. Electron., vol. 56, no. 7, pp. 2366-2373, Jul. 2009.
11. B.-S. Choi, J.-W. Lee, J.-J. Lee, and K.-T. Park, "A hierarchical algorithm for indoor mobile robot localization using rfid sensor fusion," IEEE Trans. Ind. Electron., vol. 58, no. 6, pp. 2226-2235, Jun. 2011.
12. E. DiGiampaolo and F. Martinelli, "A passive uhf-rfid system for the localization of an indoor autonomous vehicle," IEEE Trans. Ind. Electron., vol. 59, no. 10, pp. 3961-3970, Oct. 2012.
13. S. S. Saab and Z. S. Nakad, "A standalone rfid indoor positioning system using passive tags," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1961-1970, May 2011.
14. P. Yang, W. Wu, M. Moniri, and C. C. Chibelushi, "Efficient object localization using sparsely distributed passive rfid tags," IEEE Trans. Ind. Electron., vol. 60, no. 12, pp. 5914-5924, Dec. 2013.
15. E. DiGiampaolo and F. Martinelli, "Mobile robot localization using the phase of passive uhf rfid signals," IEEE Trans. Ind. Electron., vol. 61, no. 1, pp. 365-376, Jan. 2014.
16. P. Yang and W. Wu, "Efficient particle filter localisation algorithm in dense passive RFID tags environment," IEEE Trans. Ind. Electron., vol. 61, no. 10, pp. 5641-5651, Oct. 2014.
17. S. Venkatesh and R. M. Buehrer, "NLOS mitigation using linear programming in ultrawideband location-aware networks," IEEE Trans. Veh. Technol., vol. 56, no. 5, pp. 3182-3198, Sep. 2007.
18. I. Guvenc, C.-C. Chong, and F. Watanabe, "NLOS identification and mitigation for uwb localization systems," in Proc. IEEE WCNC, Mar. 2007, pp. 1571-1576.
19. L. F. M. de Moraes and B. A. A. Nunes, "Calibration-free wlan location system based on dynamic mapping of signal strength," in Proc. ACM Int. Workshop MobiWac, 2006, pp. 92-99.
20. S.-H. Fang, T.-N. Lin, and K.-C. Lee, "A novel algorithm for multipath fingerprinting in indoor wlan environments," IEEE Trans. Wireless Commun., vol. 7, no. 9, pp. 3579-3588, Sep. 2008.
21. S.-H. Fang and T.-N. Lin, "Principal component localization in indoor wlan environments," IEEE Trans.Mobile Comput., vol. 11, no. 1, pp. 100-110, Jan. 2012.
22. J. Wang et al., "Robust device-free wireless localization based on differential RSS measurements," IEEE Trans. Ind. Electron., vol. 60, no. 12, pp. 5943-5952, Dec. 2013.
23. Y. Chen, J.-A. Francisco, W. Trappe, and R. P. Martin, "A practical approach to landmark deployment for indoor localization," in Proc. IEEE SECON, Sep. 2006, pp. 365-373.
24. W. P. L. Cully, S. L. Cotton, W. G. Scanlon, and J. B. McQuiston, "Body shadowing mitigation using differentiated LOS/NLOS channel models for RSSI-based monte carlo personnel localization," in Proc. IEEE WCNC, Apr. 2012, pp. 694-698.
25. J. Wang, Q. Gao, Y. Yu, H. Wang, and M. Jin, "Toward robust indoor localization based on Bayesian filter using chirp-spread-spectrum ranging," IEEE Trans. Ind. Electron., vol. 59, no. 3, pp. 1622-1629, Mar. 2012.
26. P. Bahl and V. N. Padmanabhan, "Radar: An in-building RF-based user location and tracking system," in Proc. IEEE INFOCOM, 2000, vol. 2, pp. 775-784.
27. M. Bshara, U. Orguner, F. Gustafsson, and L. V. Biesen, "Fingerprinting localization in Wimax networks based on received signal strength measurements," IEEE Trans. Veh. Technol., vol. 59, no. 1, pp. 283-294, Jan. 2010.
28. C.-Y. Shih, L.-H. Chen, G.-H. Chen, E.-K.Wu, and M.-H. Jin, "Intelligent radio map management for futureWLAN indoor location fingerprinting," in Proc. IEEE WCNC, Apr. 2012, pp. 2769-2773.
29. S.-H. Fang, T.-N. Lin, and P.-C. Lin, "Location fingerprinting in a decorrelated space," IEEE Trans. Knowl. Data Eng., vol. 20, no. 5, pp. 685-691, May 2008.
30. B. Li, Y. Wang, H. Lee, A. Dempster, and C. Rizos, "Method for yielding a database of location fingerprints in WLAN," Proc. Inst. Elect. Eng.-Commun., vol. 152, no. 5, pp. 580-586, Oct. 2005.
31. Y. Chen and H. Kobayashi, "Signal strength based indoor geolocation," in Proc. IEEE ICC, 2002, vol. 1, pp. 436-439.
32. S. Mazuelas et al., "Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks," IEEE J. Sel. Areas Commun., vol. 3, no. 5, pp. 821-831, Oct. 2009.
33. S.-P. Kuo and Y.-C. Tseng, "Discriminant minimization search for largescale RF-based localization systems," IEEE Trans. Mobile Comput., vol. 10, no. 2, pp. 291-304, Feb. 2011.
34. H. Cho and S. W. Kim, "Mobile robot localization using biased chirpspread-spectrum ranging," IEEE Trans. Ind. Electron., vol. 57, no. 8, pp. 2826-2835, Aug. 2010.
35. A. Dhital, P. Closas, and C. Fernndez-Prades, "Bayesian filtering for indoor localization and tracking in wireless sensor networks," EURASIP J. Wireless Commun. Netw., vol. 2012, no. 1, p. 21, Jan. 2012.
36. X. Chai and Q. Yang, "Reducing the calibration effort for probabilistic indoor location estimation," IEEE Trans. Mobile Comput., vol. 6, no. 6, pp. 649-662, Jun. 2007.
37. R.W. Ouyang, A. K.-S.Wong, C.-T. Lea, andM. Chiang, "Indoor location estimation with reduced calibration exploiting unlabeled data via hybrid generative/discriminative learning," IEEE Trans.Mobile Comput., vol. 11, no. 11, pp. 1613-1626, Nov. 2012.
38. X. Chai and Q. Yang, "Reducing the calibration effort for location estimation using unlabeled samples," in Proc. IEEE Int. Conf. PerCom, Mar. 2005, pp. 95-104.
39. S.-P. Kuo, B.-J. Wu, W.-C. Peng, and Y.-C. Tseng, "Cluster-enhanced techniques for pattern-matching localization systems," in Proc. IEEE Int. Conf. MASS, Oct. 2007, pp. 1-9.
40. M. A. Youssef, A. Agrawala, and A. U. Shankar, "WLAN location determination via clustering and probability distributions," in Proc. IEEE Int. Conf. PerCom, Mar. 2003, pp. 143-150.
41. Y. Mo, Z. Cao, and B. Wang, "Occurrence-based fingerprint clustering for fast pattern-matching location determination," IEEE Commun. Lett., vol. 16, no. 12, pp. 2012-2015, Dec. 2012.
42. Y.-C. Chang, "N-dimension golden section search: Its variants and limitations," in Proc. IEEE 2nd Int. Conf. Biomed. Eng. Inf., Oct. 2009, pp. 1-6.
43. B. Joshua, The Truth About 802.11 Signal and Noise Metrics 2004. [Online]. Available: http://n-cg.net/ncgpdf/WiFi-SignalValues.pdf