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FILA: F INE - GRAINED I NDOOR L OCALIZATION Kaishun Wu, Jiang Xiao, Youwen Yi, Min Gao, and Lionel M. Ni INFOCOM 2012 - Sowhat 2012.5.21.

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Presentation on theme: "FILA: F INE - GRAINED I NDOOR L OCALIZATION Kaishun Wu, Jiang Xiao, Youwen Yi, Min Gao, and Lionel M. Ni INFOCOM 2012 - Sowhat 2012.5.21."— Presentation transcript:

1 FILA: F INE - GRAINED I NDOOR L OCALIZATION Kaishun Wu, Jiang Xiao, Youwen Yi, Min Gao, and Lionel M. Ni INFOCOM 2012 - Sowhat 2012.5.21

2 O UTLINE Introduction System Design Evaluation Discussion Conclusion

3 O UTLINE Introduction System Design Evaluation Discussion Conclusion

4 M OTIVATION WiFi-based indoor localization RSSI range-based localization Multipath Variance of RSSIs – 5dB in 1 min at immobile receiver

5 Capable to eliminate multipath effect O BJECTIVE An alternative metric to RSSI Stabl e

6 O UTLINE Introduction System Design Evaluation Discussion Conclusion

7 F OUNDATION OF FILA OFDM CSI Orthogonal Frequency Division Multiplexing Channel State Information

8 OFDM Multicarrier modulation scheme for wideband wireless communication Modulate data on multiple subcarriers in different frequencies Transmit simultaneously

9 CSI Channel state/status information Fine-grained value from the PHY layer 1. Describe how a signal propagate from TX to RX 2. Represent combined effect of scattering, fading and power decay with distance Channel properties of each subcarrier Amplitude Phase

10 S YSTEM A RCHITECTURE CSI Processing Calibration Location Determinatio n

11 CSI P ROCESSING CSI P ROCESSING T IME - DOMAIN M ULTIPATH M ITIGATION 802.11n bandwidth ~40MHz > coherence bandwidth  resolvable reflections 1. IFFT – channel response in frequency  time domain 2. Filter – keep 1 st cluster truncation threshold = 50% of 1 st peak value 3. FFT – channel response in time  frequency domain CSI Processing Calibration Location Determinatio n

12 CSI P ROCESSING CSI P ROCESSING F REQUENCY - DOMAIN F ADING C OMPENSATION Prob. of simultaneous deep fading occurring on multiple uncorrelated fading envelopes > deep fading occurring on a single freq. system ∵ channel bandwidth of 802.11n > coherence bandwidth ∴ freq.-selective fading across all subcarriers  uncorrelated Reduce the variance in CSIs owing to small scale factors Weighted average CSI Processing Calibration Location Determinatio n

13 C ALIBRATION Relationship between CSI eff and distance σ : environment factor @TX, gain of baseband to RF band @RX, gain of RF band to baseband antenna gain n : path loss fading exponent Fast training algorithm 1. 2 anchors for training 2. Another anchor for testing CSI Processing Calibration Location Determinatio n

14 L OCATION D ETERMINATION 1. APs’ coordinate info. from network layer 2. Distance between AP/object Effective CSI Refined radio propagation model Trilateration! CSI Processing Calibration Location Determinatio n

15 O UTLINE Introduction System DesignEvaluation Discussion Conclusion

16 H ARDWARE CONFIGURATION AP : TP-LINK TL-WR941ND router @ 2.4~2.4835GHz Receiver: HP laptop with 2.4GHz dual-core CPU Intel WiFi Link 5300 802.11n NICs Modified driver to collecting CSI values from NICs Placed on a plastic cart

17 E XPERIMENTAL S CENARIOS 1. Chamber 3m x 4m Ideal free space indoor environment (only LOS signal exist without multipath reflections) 2. Research laboratory 5m x 8m 3 APs Weekday afternoon (students seating or walking around)

18 E XPERIMENTAL S CENARIOS 3. Lecture theatre 20m x 20m 4. Corridor 32.5m x 10m Cover corridors, rooms and cubicles Impact of the absence of LOS APs

19 R OBUSTNESS OF T HE R EFINED M ODAL

20 T EMPORAL S TABILITY OF CSI

21 D ISTANCE D ETERMINATION A CCURACY Chamber Research laboratory Lecture theatre 10 different locations Positions with serious multipath effect – Accuracy: FILA > RSSI-based by 10 times Mean distance error

22 L OCALIZATION A CCURACY IN S INGLE R OOM Research laboratory Lecture theatre 90% - 1m/1.8m ; median - 0.45m/1.2m

23 L OCALIZATION A CCURACY IN M ULTIPLE R OOMS Corridor 6 APs in multiple rooms Experiment procedure Offline training Fix the position of the object at reference nodes  collect APs’coordinates and CSI Moving @ 1m/s Collect 20 CSIs and RSSIs at each position Robust, median = 1.2m

24 L ATENCY Latency = calibration + determination phase Calibration Data collection AP transmit message every 0.8ms Collect 20 CSIs 20 * 0.8 = 16ms Calibration processing = 2ms Determination IFFT, FFT with wireless NICs= ignorable Signal processing + trilateration = 2ms Total: 16ms + 2ms + 2ms = 20ms

25 O UTLINE Introduction System Design EvaluationDiscussion Conclusion

26 D ISCUSSION CSI + fingerprint-based method  more accurate localization Leverage available multiple APs to improve accuracy Implement FILA on smart phone

27 O UTLINE Introduction System Design Evaluation DiscussionConclusion

28 C ONCLUSION Design and implement FILA CSI with OFDM system Compared to RSSI-Based in different scenarios Capable to deal with multipath effect (time domain processing) Stable (freq. domain processing) Disadvantage Unclear descriptions Comparison of single room/multiple room

29 T HANKS FOR L ISTENING ~


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