Indoor localization with channel impulse response based fingerprint and nonparametric regression

Jin, Yunye; Soh, Wee-Seng; Wong, Wai-Choong

doi:10.1109/twc.2010.03.090197

Cited by 123 publications

(59 citation statements)

References 24 publications

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“…• The 20MHz bandwidth in 802.11n yields a time resolution of 50ns, while the typical indoor maximum excess delay is smaller than 500ns [19]. Hence only the first 10 out of the 30 available CIR components are relevant to multipath effects.…”

Section: A Sensitivity To Human Presencementioning

confidence: 99%

Towards omnidirectional passive human detection

Zhou

Yang

et al. 2013

2013 Proceedings IEEE INFOCOM

102

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Abstract-Passive human detection and localization serve as key enablers for various pervasive applications such as smart space, human-computer interaction and asset security. The primary concern in devising scenario-tailored detecting systems is the coverage of their monitoring units. In conventional radiobased schemes, the basic unit tends to demonstrate a directional coverage, even if the underlying devices are all equipped with omnidirectional antennas. Such an inconsistency stems from the link-centric architecture, creating an anisotropic wireless propagating environment. To achieve an omnidirectional coverage while retaining the link-centric architecture, we propose the concept of Omnidirectional Passive Human Detection, and investigate to harness the PHY layer features to virtually tune the shape of the unit coverage by fingerprinting approaches, which is previously prohibited with mere MAC layer RSSI. We design the scheme with ubiquitously deployed WiFi infrastructure and evaluate it in typical multipath-rich indoor scenarios. Experimental results show that our scheme achieves an average false positive of 8% and an average false negative of 7% in detecting human presence in 4 directions.

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Section: A Sensitivity To Human Presencementioning

confidence: 99%

Towards omnidirectional passive human detection

Zhou

Yang

et al. 2013

2013 Proceedings IEEE INFOCOM

102

View full text Add to dashboard Cite

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“…However, the deployed devices are costly and heavy. In [7], the system is designed for users of wideband orthogonal frequency division multiplexing technologies. The CIR is approximated by performing an IFFT on the receiver's channel estimation.…”

Section: Rf Systemsmentioning

confidence: 99%

“…Probabilistic localization methods, such as that presented in [7], use the kernel approach to approximate the conditional expectation E(c|s).…”

Section: Local Linear Estimatormentioning

confidence: 99%

Performance evaluation of an acoustic indoor localization system based on a fingerprinting technique

Aloui

Raoof

Bouallègue

et al. 2014

EURASIP J. Adv. Signal Process.

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We present an acoustic location system that adopts the time of arrival of the path of maximum amplitude as a signature and estimates the target position through nonparametric kernel regression. The system was evaluated in experiments for two main configurations: a privacy-oriented configuration with code division multiple access operation and a centralized configuration with time division multiple access operation. The effects of the number and positions of sources on the performance of the privacy-oriented system was studied. Moreover, the effect of the number of fingerprint positions on the performance of both systems was investigated. Results showed that our privacy-oriented scheme provides an accuracy of 8.5 cm with 87% precision, whereas our centralized system provides an accuracy of 2.7 cm for 93% of measurements. A comparison between our privacy-oriented system and another acoustic location system based on code division multiple access operation and lateration was conducted on our test bench and revealed that the cumulative error distribution function of the fingerprint-based system is better than that of the lateration-based system. This result is similar to that found for Wi-Fi radio-based localization. However, our experiments are the first to demonstrate the detrimental effect that reverberation has on naive acoustic localization approaches.

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“…[23] presents a GSM indoor localization system that achieves a median accuracy of 4 m. EZ [6] uses the RSSI to indoor APs and yields a median accuracy of 2-7 m with no pre-deployment effort. There are other types of fingerprints or landmarks used to achieve roomlevel localization, e.g., [4], [7], [12], [14], [22], [25]. Most fingerprinting based localization methods cost an effort for site-survey.…”

Section: Related Workmentioning

confidence: 99%

Montage: Combine frames with movement continuity for realtime multi-user tracking

Zhang

Liu

Jiang

et al. 2014

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

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Abstract-In this work we design and develop Montage for real-time multi-user formation tracking and localization by offthe-shelf smartphones. Montage achieves submeter-level tracking accuracy by integrating temporal and spatial constraints from user movement vector estimation and distance measuring. In Montage we designed a suite of novel techniques to surmount a variety of challenges in real-time tracking, without infrastructure and fingerprints, and without any a priori user-specific (e.g., stride-length and phone-placement) or site-specific (e.g., digitalized map) knowledge. We implemented, deployed and evaluated Montage in both outdoor and indoor environment. Our experimental results (847 traces from 15 users) show that the stridelength estimated by Montage over all users has error within 9cm, and the moving-direction estimated by Montage is within 20 o . For real-time tracking, Montage provides meter-second-level formation tracking accuracy with off-the-shelf mobile phones.

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Indoor localization with channel impulse response based fingerprint and nonparametric regression

Cited by 123 publications

References 24 publications

Towards omnidirectional passive human detection

Towards omnidirectional passive human detection

Performance evaluation of an acoustic indoor localization system based on a fingerprinting technique

Montage: Combine frames with movement continuity for realtime multi-user tracking

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