Innovative Indoor Geolocation Using RF Multipath Diversity

Gustafson, Donald; Elwell, John; Soltz, J.A.

doi:10.1109/plans.2006.1650690

Cited by 21 publications

(15 citation statements)

References 11 publications

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“…Several algorithms have been proposed; see [86,99,139,275] for UWB systems and [98,163] for wideband systems. Generally, the existence of multipaths in wideband channels is detrimental for the localization problem, but if the channel contains rich multipaths, such as UWB channels, then it also contains rich information which can be exploited to find the location of the transmitter.…”

Section: Multipath Issuementioning

confidence: 99%

Ultra Wideband Systems with MIMO

Kaiser¹,

Zheng²

2010

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Section: Multipath Issuementioning

confidence: 99%

Ultra Wideband Systems with MIMO

Kaiser¹,

Zheng²

2010

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“…To overcome these difficulties, a 3D model of the environment can be used to deliver a priori knowledge about the shadowed satellites [19,20]. Another possibility is to exploit the geometric path model [21] in order to estimate a possible reflected path related to NLOS MP interferences. The reflected signal due to an MP interference can be converted to a bias appearing on the GNSS pseudo-range measurement.…”

Section: Introductionmentioning

confidence: 99%

Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method

et al. 2016

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Calmettes. Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method. Signal Processing, Elsevier, 2016, vol. 118, pp. 221-234 a b s t r a c tIn urban canyons, non-line-of-sight (NLOS) multipath interferences affect position estimation based on global navigation satellite systems (GNSS). This paper proposes to model the effects of NLOS multipath interferences as mean value jumps contaminating the GNSS pseudo-range measurements. The marginalized likelihood ratio test (MLRT) is then investigated to detect, identify and estimate the corresponding NLOS multipath biases. However, the MLRT test statistics is difficult to compute. In this work, we consider a Monte Carlo integration technique based on bias magnitude sampling. Jensen's inequality allows this Monte Carlo integration to be simplified. The multiple model algorithm is also used to update the prior information for each bias magnitude sample. Some strategies are designed for estimating and correcting the NLOS multipath biases. In order to demonstrate the performance of the MLRT, experiments allowing several localization methods to be compared are performed. Finally, results from a measurement campaign conducted in an urban canyon are presented in order to evaluate the performance of the proposed algorithm in a representative environment.

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“…When indoor geolocation applications are considered, AOA information can be used to increase ranging and hence positioning accuracy coupled with additional information such as TOA [3]. AOA information becomes particularly useful in tracking certain indirect MPCs when these MPCs can be used to aid in precise TOA ranging when the LOS path gets blocked due to obstructions [4,5]. For these applications, relative positions of transmitter and receiver gain importance, since path arrivals will be affected accordingly.…”

Section: Introductionmentioning

confidence: 99%

A Novel Statistical AOA Model Pertinent to Indoor Geolocation

Akgül¹,

Pahlavan²

2010

JGIS

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Abstract:A novel statistical angle-of-arrival (AOA) model for indoor geolocation applications is presented. The modeling approach focuses on the arrivals of the multipath components with respect to the line-of-sight (LOS) path which is an important component especially when indoor geolocation applications are considered. The model is particularly important for indoor applications where AOA information could be utilized for tracking indirect paths to aid in precise ranging in harsh and dense multipath environments where LOS path might be blocked due to obstructions. The results have been obtained by a measurement calibrated ray-tracing (RT) tool.

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Innovative Indoor Geolocation Using RF Multipath Diversity

Cited by 21 publications

References 11 publications

Ultra Wideband Systems with MIMO

Ultra Wideband Systems with MIMO

Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method

A Novel Statistical AOA Model Pertinent to Indoor Geolocation

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