Hybrid TOA/AOA Cooperative Localization in Non-Line-of-Sight Environments

Ding, Genming; Zhang, Tan; Zhang, Lingwen; Zhang, Ziqi; Zhang, Jinbao

doi:10.1109/vetecs.2012.6239884

Cited by 29 publications

(24 citation statements)

References 17 publications

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“…The result is this: In 2D space, TOA needs three anchors at least to localize. AOA needs two anchors at least to complete it [8]. Combine TOA with AOA, the one anchor can realize localization.…”

Section: Localization Algorithmmentioning

confidence: 99%

A TOA Cooperate with AOA Location Algorithm Based on IR-UWB

Wang¹,

Shen²,

Feng³

et al. 2016

IJFCC

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Abstract-IR-UWB applications in indoor localization, to fill the gaps in the indoor high precision localization technology. IR-UWB has a high bandwidth, low power consumption and no carrier. The pulse signal can provide high time resolution, so it can get higher localization accuracy. In this paper, to locate by using TOA synergy AOA based on the IR-UWB signal. This localization algorithm, only need one anchor to complete it. In the case of multipoint localization, the tags distributed in the special position may cause some localization error in TOA. This will be resolved by combining with the AOA. Furthermore, we have tested on the HN-EVK1000 equipment.Index Terms-AOA, indoor localization, IR-UWB, TOA.

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Section: Localization Algorithmmentioning

confidence: 99%

A TOA Cooperate with AOA Location Algorithm Based on IR-UWB

Wang¹,

Shen²,

Feng³

et al. 2016

IJFCC

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“…The last type of method to handle NLOS in wireless sensor networks is the hybrid method, and it applies TDOA/AOA [17] or TOA/AOA [18] to estimate the hybrid locations. This kind of method can improve the precision of estimated locations to a certain extent, but when the error of some measured value from one method exceeds the threshold, the result is still bad.…”

Section: Paper Game Theory Based Location Smoothing In Wireless Sensomentioning

confidence: 99%

Game Theory Based Location Smoothing in Wireless Sensor Networks

Yongqiang

Qin²,

Wang³

2016

Int. J. Onl. Eng.

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Abstract-Location estimation of mobile target is an important research in wireless sensor networks. However, the phenomenon of non line of sight affects the accuracy of location estimating algorithms greatly. In order to improve the accuracy of location estimation of mobile targets, we proposed a game theory based location method algorithm in wireless sensor networks. In the proposed method, we first estimate the initial locations of mobile target with a support vector regression model, and then use game theory to smooth the already estimated locations. In the game model, game based filter and noise generator are two game rivals. The game filter aims to minimize the objective function of the game model, and the noise generator aims to maximize the same objective function. We propose a differential game theory based algorithm for solving the optimal resolution. The experiments show that, the proposed method is more powerful, and can be used to mobile target locating and tracking.

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“…S. Dayekh et al [8] innovates a CIRbased positioning technique within a cooperative memory-assisted approach that exploits both the temporal and spatial diversities of the collected fingerprints. Whereas, G. Ding et al [9] proposes a cooperative localization algorithm to mitigate NLOS errors, which combines TOA/AOA measurements of all identified LOS base station (BS)-mobile station (MS) links.…”

Section: Related Workmentioning

confidence: 99%

“…In order to predict the accurate indoor radio coverage and channel impulse response we consider a deterministic (site-specific) propagation modeling technique, called Ray Tracing (RT). The RT technique utilizes the knowledge of the locations and electromagnetic properties of indoor objects, is used to predict path 9 loss, time invariant impulse response, and the RMS delay spread [12,13]. A general model of band-limited complex channel impulse response (CIR) is expressed as [14]:…”

Section: Deterministic Channel Model For Indoor Radio Wave Propagationmentioning

confidence: 99%

Hybrid Real-Time and Preset Processing for Indoor Radio Geo-Location in Dense Multipath Environments

Kabir

Sugimoto²,

Kohno³

2013

IJCNS

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The existence of various geo-location applications and their accuracy requirements enhance the necessities for suitable processing techniques to solve the indoor geo-location problems. Since, Impulse Radio Ultra-Wideband (IR-UWB) signals have very short duration pulses; they can provide very accurate ranging and geo-location capability in short range indoor radio propagation environments. Our research puts emphasis on indoor geo-location using UWB signaling considering both of non line-of-sight (NLOS) and LOS radio propagation environments. In this paper, we introduce and investigate a noble approach which makes a hybrid combination of Channel Impulse Response (CIR)-based fingerprinting (FP) method with polygonal arrangement of reference nodes (or tags) and an iterative-TOA based real-time geo-location method using UWB signaling for wireless ad hoc networks. The proposed hybrid approach assures significant improvement in positioning accuracy compared to TOA only, FP only and conventional iterative-TOA geolocation methods by mitigating NLOS errors effectively in the indoor environment. Besides, this hybrid approach minimizes the calculation complexity of the FP method while maintaining improved geo-location accuracy in the dense multipath propagation environment.

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Hybrid TOA/AOA Cooperative Localization in Non-Line-of-Sight Environments

Cited by 29 publications

References 17 publications

A TOA Cooperate with AOA Location Algorithm Based on IR-UWB

A TOA Cooperate with AOA Location Algorithm Based on IR-UWB

Game Theory Based Location Smoothing in Wireless Sensor Networks

Hybrid Real-Time and Preset Processing for Indoor Radio Geo-Location in Dense Multipath Environments

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