CSI Phase Fingerprinting for Indoor Localization with a Deep Learning Approach

IEEE Internet of Things Journal

Volumn 3, Issue 6, 2016, Pages 1113-1123

  Wang, Xuyu ^a   Gao, Lingjun ^b   Mao, Shiwen ^a  

^a AUBURN UNIVERSITY   (United States)

^b DataYes Inc Inc   (China)

Author keywords

Channel state information (CSI); deep learning; fingerprinting; indoor localization; phase calibration

Indexed keywords

CALIBRATION; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPLEX NETWORKS; INDOOR POSITIONING SYSTEMS; INTERFACES (COMPUTER); LEARNING ALGORITHMS; LINEAR TRANSFORMATIONS; LOCATION BASED SERVICES; MATHEMATICAL TRANSFORMATIONS; MOBILE COMPUTING; RADIAL BASIS FUNCTION NETWORKS; TELECOMMUNICATION SERVICES;

DEEP LEARNING; FINGERPRINTING; INDOOR LOCALIZATION; NETWORK INTERFACE CARDS; PHASE CALIBRATION; RADIAL BASIS FUNCTIONS; RECEIVED SIGNAL STRENGTH; RESTRICTED BOLTZMANN MACHINE;

CHANNEL STATE INFORMATION;

EID: 85010058298     PISSN: None     EISSN: 23274662     Source Type: Journal    
DOI: 10.1109/JIOT.2016.2558659     Document Type: Article

References (32)

1. X. Wang, L. Gao, and S. Mao, "PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach, " in Proc. IEEE GLOBECOM, San Diego, CA, USA, Dec. 2015, pp. 1-6.
2. X. Wang, S. Mao, S. Pandey, and P. Agrawal, "CA2T: Cooperative antenna arrays technique for pinpoint indoor localization, " in Proc. MobiSPC, Niagara Falls, ON, Canada, Aug. 2014, pp. 392-399.
3. X. Wang et al., "Mobility improves LMI-based cooperative indoor localization, " in Proc. IEEE WCNC, New Orleans, LA, USA, Mar. 2015, pp. 2215-2220.
4. H. Liu, H. Darabi, P. Banerjee, and L. Jing, "Survey of wireless indoor positioning techniques and systems, " IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 37, no. 6, pp. 1067-1080, Nov. 2007.
5. S. Dayekh, S. Affes, N. Kandil, and C. Nerguizian, "Cooperative localization in mines using fingerprinting and neural networks, " in Proc. IEEE WCNC, Sydney, N.S.W., Australia, Apr. 2010, pp. 1-6.
6. M. Youssef and A. Agrawala, "The Horus WLAN location determination system, " in Proc. ACM MobiSys, Seattle, WA, USA, Jun. 2005, pp. 205-218.
7. P. Bahl and V. N. Padmanabhan, "Radar: An in-building RF-based user location and tracking system, " in Proc. IEEE INFOCOM, Tel Aviv, Israel, Mar. 2000, pp. 775-784.
8. K. Wu et al., "CSI-based indoor localization, " IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 7, pp. 1300-1309, Jul. 2013.
9. D. Halperin, W. Hu, A. Sheth, and D. Wetherall, "Predictable 802.11 packet delivery from wireless channel measurements, " in Proc. ACM SIGCOMM, New Delhi, India, Sep. 2010, pp. 159-170.
10. J. Xiao, K. Wu, Y. Yi, and L. Ni, "FIFS: Fine-grained indoor fingerprinting system, " in Proc. IEEE ICCCN, Munich, Germany, Jul./Aug. 2012, pp. 1-7.
11. X. Wang, L. Gao, S. Mao, and S. Pandey, "DeepFi: Deep learning for indoor fingerprinting using channel state information, " in Proc. IEEE WCNC, New Orleans, LA, USA, Mar. 2015, pp. 1666-1671.
12. Y. Chapre, A. Ignjatovic, A. Seneviratne, and S. Jha, "CSI-MIMO: Indoor Wi-Fi fingerprinting system, " in Proc. IEEE LCN, Edmonton, AB, Canada, Sep. 2014, pp. 202-209.
13. C. Wu et al., "PhaseU: Real-Time LOS identification with WiFi, " in Proc. IEEE INFOCOM, Hong Kong, Apr./May 2015, pp. 2038-2046.
14. K. Qian, C. Wu, Z. Yang, Y. Liu, and Z. Zhou, "PADS: Passive detection of moving targets with dynamic speed using PHY layer information, " in Proc. IEEE ICPADS, Hsinchu, Taiwan, Dec. 2014, pp. 1-8.
15. G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks, " Science, vol. 313, no. 5786, pp. 504-507, Jul. 2006.
16. Y. Bengio et al., "Greedy layer-wise training of deep networks, " in Proc. Adv. Neural Inf. Process. Syst. (NIPS), Vancouver, BC, Canada, Dec. 2007, pp. 153-160.
17. M. Brunato and R. Battiti, "Statistical learning theory for location fingerprinting in wireless LANs, " Comput. Netw., vol. 47, no. 6, pp. 825-845, Apr. 2005.
18. Y. Gu, A. Lo, and I. Niemegeers, "A survey of indoor positioning systems for wireless personal networks, " IEEE Commun. Surveys Tuts., vol. 11, no. 1, pp. 13-32, Jan. 2009.
19. S. He and S.-H. G. Chan, "Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons, " IEEE Commun. Surveys Tuts., vol. 18, no. 1, pp. 466-490, Jan. 2016.
20. C. Wu et al., "Static power of mobile devices: Self-updating radio maps for wireless indoor localization, " in Proc. IEEE INFOCOM, Hong Kong, Apr./May 2015, pp. 2497-2505.
21. D. Liang, Z. Zhang, and M. Peng, "Access point reselection and adaptive cluster splitting-based indoor localization in wireless local area networks, " IEEE Internet Things J., vol. 2, no. 6, pp. 573-585, Dec. 2015.
22. Z. Yang, Z. Zhou, and Y. Liu, "From RSSI to CSI: Indoor localization via channel response, " ACM Comput. Surv., vol. 46, no. 2, pp. 25-32, Nov. 2013.
23. S. Sen, B. Radunovic, R. R. Choudhury, and T. Minka, "You are facing the Mona Lisa: Spot localization using PHY layer information, " in Proc. ACM MobiSys, Ambleside, U.K., Jun. 2012, pp. 183-196.
24. X. Wang, L. Gao, S. Mao, and S. Pandey, "CSI-based fingerprinting for indoor localization: A deep learning approach, " IEEE Trans. Veh. Technol., to be published, doi: 10.1109/TVT.2016.2545523.
25. X. Zhang et al., "Robust trajectory estimation for crowdsourcing-based mobile applications, " IEEE Trans. Parallel Distrib. Syst., vol. 25, no. 7, pp. 1876-1885, Jul. 2014.
26. A. Rai, K. K. Chintalapudi, V. N. Padmanabhan, and R. Sen, "Zee: Zero-effort crowdsourcing for indoor localization, " in Proc. ACM Mobicom, Istanbul, Turkey, Aug. 2012, pp. 293-304.
27. Z. Yang, C. Wu, and Y. Liu, "Locating in fingerprint space: Wireless indoor localization with little human intervention, " in Proc. ACM Mobicom, Istanbul, Turkey, Aug. 2012, pp. 269-280.
28. Y. Wen, X. Tian, X. Wang, and S. Lu, "Fundamental limits of RSS fingerprinting based indoor localization, " in Proc. IEEE INFOCOM, Hong Kong, Apr./May 2015, pp. 2479-2487.
29. S. He, S.-H. G. Chan, L. Yu, and N. Liu, "Fusing noisy fingerprints with distance bounds for indoor localization, " in Proc. IEEE INFOCOM, Hong Kong, Apr./May 2015, pp. 2506-2514.
30. S. Sen, J. Lee, K.-H. Kim, and P. Congdon, "Avoiding multipath to revive inbuilding WiFi localization, " in Proc. ACM MobiSys, Taipei, Taiwan, Jun. 2013, pp. 249-262.
31. J. Xiong and K. Jamieson, "Arraytrack: A fine-grained indoor location system, " in Proc. ACM NSDI, Lombard, IL, USA, Apr. 2013, pp. 71-84.
32. J. Xiong, K. Sundaresan, and K. Jamieson, "Tonetrack: Leveraging frequency-Agile radios for time-based indoor wireless localization, " in Proc. ACM Mobicom, Paris, France, Sep. 2015, pp. 537-549.