Accurate radio distance estimation by phase measurements with multiple frequencies

Pelka, Mathias; Bollmeyer, Christian; Hellbrück, Horst

doi:10.1109/ipin.2014.7275478

Cited by 38 publications

(17 citation statements)

References 17 publications

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“…This technique has produced very encouraging results in low multipath environments with errors of less than 2 meters achieved in low latency systems; however, as with other techniques, a vulnerability to multipath interference severely limits its accuracy in indoor and urban environments. While work has been carried out to mitigate this vulnerability with multiple RF channels at separated frequencies [17], no solution has been found that allows the system to operate in multipath while retaining the ability for the system to work on low latency mobile systems.…”

Section: Ranging Probability Estimatementioning

confidence: 99%

Signals of opportunity geolocation methods for urban and indoor environments

2017

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Motivated by the geolocation requirements of future mobile network applications such as portable internet of things (IoT) devices and automated airborne drone systems, this paper aims to provide techniques for improving device geolocation estimates in urban and indoor locations. In these applications low size, weight and power are vital design constraints. This paper proposes methods for improving the geolocation estimate available to a system in indoor and urban environments without the need for addition sensing or transmitting hardware. This paper proposes novel system application techniques that enable the integration of signals of opportunity, providing a robust geolocation estimate without any additional hardware. The proposed method utilizes a sinusoidal Kalman filter architecture to analyse raw radio frequency (RF) signals that surround a system in urban and indoor environments. The introduced techniques efficiently analyse the raw RF data from any signal of opportunity and combine it with higher level geolocation sensors to provide an improved geolocation estimate. The improvements achieved by the system in a range of environments have been simulated, analysed and compared to the results obtained using the prior art. These improvements have been further validated and benchmarked by hardware test. The results obtained provide evidence that the efficient use of signals of opportunity coupled with common navigation sensors can provide a robust and reliable geolocation system in indoor and urban environments.

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Section: Ranging Probability Estimatementioning

confidence: 99%

Signals of opportunity geolocation methods for urban and indoor environments

2017

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“…The approach cited in [10] requires a large number of antenna elements and installs them in a very wide area. Kalman-based tracking approaches for wireless sensor networks have also been reported [11], [12]. However they have some drawbacks like low tracking accuracy or large computational cost.…”

Section: Introductionmentioning

confidence: 99%

Phase-Difference Compensation and Nonuniform Pulse Transmission for Accurate Real-Time Moving Object Tracking

Ichige

Arakawa

Saito

et al. 2019

IEICE Trans. Fundamentals

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This paper presents a radio-based real-time moving object tracking method based on Kalman filtering using a phase-difference compensation technique and a non-uniform pulse transmission scheme. Conventional Kalman-based tracking methods often require time, amplitude, phase information and their derivatives for each receiver antenna; however, their location estimation accuracy does not become good even with many transmitting pulses. The presented method employs relative phasedifference information and a non-uniform pulse generation scheme, which can greatly reduce the number of transmitting pulses while preserving the tracking accuracy. Its performance is evaluated in comparison with that of conventional methods.

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“…Many research efforts have approached these problems as either separate or joint estimation problems [3]- [9]. Existing methods can be classified into (i) time-stamping methods based on ultra-wideband (UWB) signals [3]- [6], and (ii) phase-based methods which utilize carrier phase measurements of narrowband signals [7]- [9]. Methods falling in the first class offer high timing resolution and a plethora of protocols and algorithms for joint ranging and clock synchronization have been proposed [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…On the other side, the methods based on phase-based ranging, i.e. phase difference of arrival (PDoA), do not consider the impact of unknown clock-skew on range estimation [7]- [9]. These This research was supported in part by NWO-STW under contract 13970 ("SuperGPS").…”

Section: Introductionmentioning

confidence: 99%

Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks

Kazaz

Coutiño

Janssen

et al. 2018

2018 52nd Asilomar Conference on Signals, Systems, and Computers

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Synchronization and ranging in internet of things (IoT) networks are challenging due to the narrowband nature of signals used for communication between IoT nodes. Recently, several estimators for range estimation using phase difference of arrival (PDoA) measurements of narrowband signals have been proposed. However, these estimators are based on data models which do not consider the impact of clock-skew on the range estimation. In this paper, clock-skew and range estimation are studied under a unified framework. We derive a novel and precise data model for PDoA measurements which incorporates the unknown clock-skew effects. We then formulate joint estimation of the clock-skew and range as a two-dimensional (2-D) frequency estimation problem of a single complex sinusoid. Furthermore, we propose: (i) a two-way communication protocol for collecting PDoA measurements and (ii) a weighted least squares (WLS) algorithm for joint estimation of clock-skew and range leveraging the shift invariance property of the measurement data. Finally, through numerical experiments, the performance of the proposed protocol and estimator is compared against the Cramér Rao lower bound demonstrating that the proposed estimator is asymptotically efficient.

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Accurate radio distance estimation by phase measurements with multiple frequencies

Cited by 38 publications

References 17 publications

Signals of opportunity geolocation methods for urban and indoor environments

Signals of opportunity geolocation methods for urban and indoor environments

Phase-Difference Compensation and Nonuniform Pulse Transmission for Accurate Real-Time Moving Object Tracking

Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks

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