An Overview on Position Location: Past, Present, Future

Zekavat, S.A.; Buehrer, R. Michael; Durgin, Gregory D.; Lovisolo, Lisandro; Wang, Zhonghai; Goh, Shu Ting; Ghasemi, Ahmad

doi:10.1007/s10776-021-00504-z

Cited by 46 publications

(28 citation statements)

References 228 publications

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“…The theoretical results have been confirmed by measurements [18]. Many algorithms for cooperative localization have been proposed, see [19], [20] and the references therein.…”

Section: Introductionmentioning

confidence: 55%

Simultaneous Localization and Calibration for Cooperative Radio Navigation

Pöhlmann

Zhang

Staudinger

et al. 2022

IEEE Trans. Wireless Commun.

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Cooperative radio localization and navigation systems can be used in scenarios where the reception of global navigation satellite system (GNSS) signals is not possible or impaired. While the benefit of cooperation has been highlighted by many papers, calibration is not widely considered, but equally important in practice. Utilizing the signal propagation time requires group delay or ranging bias calibration and estimating the direction-of-arrival (DoA) requires antenna response calibration. Often, calibration parameters are determined only once before operation. However, the calibration parameters are influenced by e.g. changing temperatures of radio frequency (RF) components or changing surroundings of antennas. To cope with that, we derive a cooperative simultaneous localization and calibration (SLAC) algorithm based on Bayesian filtering, which estimates antenna responses and ranging biases simultaneously with positions and orientations. By simulations, we show that the calibration parameters can be estimated during operation without additional sensors. We further proof practical applicability of SLAC by evaluating measurement data from robotic rovers. With SLAC, both ranging and DoA estimation performance is improved, resulting in better position and orientation estimation accuracy. SLAC is thus able to provide reliable calibration and to mitigate model mismatch. Finally, we discuss open research questions and possible extensions of SLAC.

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“…The theoretical results have been confirmed by measurements [18]. Many algorithms for cooperative localization have been proposed, see [19], [20] and the references therein.…”

Section: Introductionmentioning

confidence: 55%

Simultaneous Localization and Calibration for Cooperative Radio Navigation

Pöhlmann

Zhang

Staudinger

et al. 2022

IEEE Trans. Wireless Commun.

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“…Positioning is an enabling factor for many activities, such as supporting users' everyday life through navigation assistance systems [1], emergency response facilitation, collision avoidance in autonomous driving, defense purposes, and multirobot coordination tasks [2]. An alternative field of application for localization systems is telecommunications [3]. An example of this application is represented by the Massive MIMO systems (mMIMO) [4].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, thanks to localization, it is possible to implement flexible communication pairs able to optimize channel capacity and the overall user experience by focusing the antenna system radiation pattern on a given direction or having multiple simultaneous, adaptively generated, very narrow beams pointing in different directions [5]. Other examples of applications are asset tracking, or in general, target tracking, and navigation assistance [3].…”

Section: Introductionmentioning

confidence: 99%

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A Linear Technique for Artifacts Correction and Compensation in Phase Interferometric Angle of Arrival Estimation

Florio

Avitabile

Coviello

2022

Sensors

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Radio localization and radio positioning are relevant research fields for many telecommunications technologies. Usually, the solutions proposed by the literature rely on adaptive techniques related to some parameters that can be extracted from the received signal in cooperative device tracking. In this paper, we explore the artifacts that may be introduced into Angle-of-Arrival estimation based on phase interferometry, and we introduce a simple technique to mitigate their impact. Details of the mathematical discussion are presented and the approach is experimentally validated. The experimental results are compared with raw data to demonstrate the effectiveness of the proposed technique.

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“…Fayyad [15] is aimed at high-power interference in the case of tracking information distortion, and an EMDbased monopulse radar processor structure is proposed. Zekavat [16] uses fast wavelet transform (FWT) to suppress interference and detect targets. Other scholars analyzed the performance of search radar and tracking radar under blocking jamming, deduced the probability distribution of target detection in jamming environment, and studied the change in interference-to-noise ratio in the radar receiver in the presence of multiple dynamic noise jammers [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm

Wu¹

2021

Discrete Dynamics in Nature and Society

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Based on the active interference suppression algorithm, this study combines the radar working mode and the interference type and realizes the effective detection of the flaw detection signal by successively processing the radar receiving signal and the filtering processing. Firstly, this article builds a simulation platform similar to the actual situation to verify the existing conventional active interference suppression algorithms. Secondly, for the detection of chirp active deception jamming signals entering from the main lobe, a radar active deception jamming detection method based on the characteristic parameter matching of the harmonic components of active deception jamming signals is proposed. After that, the spectral characteristics of the harmonic components of the deception interference signal are analyzed, and the center frequency and the tuning frequency of the real target echo are obtained. Finally, by establishing a frequency modulation parameter library for possible interference harmonic signal components, the acquisition phase of the radar gate by the jammer matched analysis with the preestablished frequency modulation parameter library is implemented to achieve active deception interference detection. This method can effectively detect active deception jamming signals in a complex tunnel environment. The interference suppression algorithms verified by simulation include noise FM interference suppression algorithm based on cancellation and distance false target interference suppression algorithm based on LFM radar summary processing. Through actual measurement data processing and analysis, the effectiveness of the method is verified and the idea of interference suppression is expanded. The construction of the simulation platform is obtained by appropriately modifying the actual parameters, a certain type of suppression jammer, and a certain type of deception jammer used in a certain countermeasure field test at a radar station.

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An Overview on Position Location: Past, Present, Future

Cited by 46 publications

References 228 publications

Simultaneous Localization and Calibration for Cooperative Radio Navigation

Simultaneous Localization and Calibration for Cooperative Radio Navigation

A Linear Technique for Artifacts Correction and Compensation in Phase Interferometric Angle of Arrival Estimation

Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm

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