Real Time Locating System for Wireless Networks using IEEE 802.15.4 Radio

Cho, Hyuntae; Jung, Yeonsu; Choi, Hoon; Jang, Hyunsung; Son, Sanghyun; Baek, Yunju

doi:10.1109/sahcn.2008.75

Cited by 11 publications

(7 citation statements)

References 2 publications

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“…It can be observed from Figure 5 that the maximum error of the time synchronization for the specific frequency band is less than 1.5 ns. In [42], a real-time TDoA localization system was proposed, and the time synchronization using a technique of a reference clock has a synchronization error of 10 ns. In [43], the synchronization of a practical localization system was performed utilizing a motion sensor and an external real-time clock.…”

Section: Performance Evaluation For Time Synchronizationmentioning

confidence: 99%

A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

Rodríguez-Piñeiro

Liu

et al. 2020

Sensors

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Time difference of arrival (TDoA) technology is widely utilized for source localization, which stimulates many studies on performance-evaluation approaches for TDoA localization systems. Some approaches using simulations are designed merely for a simple Line-of-Sight (LoS) scenario while some other ones using experiments show high cost and inefficiency. This paper proposes an integrated approach to evaluate a TDoA localization system in an area with a complicated environment. Radio propagation graph is applied through a simulation to obtain channel impulse responses (CIRs) between a source to be located and the TDoA sensors for the area. Realistic signals received by the sensors in baseband are emulated combining the source transmitted signal and the CIRs. A hardware unit takes charge of sending the radio emulated received signals to the system under test, which is consistent with real experimental measurements. Statistical analysis of the system is allowed based on localization errors obtained comparing the system’s estimates with the ground truth of the source location. Verified results for LoS and non-LoS scenarios with variable transmitted signal bandwidths and signal-to-noise ratios, as well as for three variations of the sensor locations in an automobile circuit, show the usability of the proposed experiment-free performance-evaluation approach.

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Section: Performance Evaluation For Time Synchronizationmentioning

confidence: 99%

A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

Rodríguez-Piñeiro

Liu

et al. 2020

Sensors

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“…In the [6] authors used two IEEE 802.15.4 compliant transceivers combined with dedicated FPGA (FieldProgrammable Gate Array) based controller for precise time measurements. One transceiver was used for distance measurement and the other for precise time synchronization.…”

Section: Related Workmentioning

confidence: 99%

“…For performance analysis of the SDS-TWR method the five reference positions (marked with numbers 32, 33, 34, 51, 53) inside the offices were used. Every measurement was carried out on the marked points (cross marker [1][2][3][4][5][6][7][8][9][10][11][12] hall between the offices, so we could evaluate different NLOS (non line-of-sight) multipath signal propagation. Figure 5 shows the worst case measurements in the whole area consolidated by all nodes, so we can see maximum possible error introduced in this environment using the UWB devices and then predict or deal with this occurrences.…”

Section: Non Line Of Sight (Nlos) Measurementmentioning

confidence: 99%

On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

Botta

Šimek

Krajsa

et al. 2015

Measurement Science Review

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This study deals with the distance estimation issue in low-power wireless systems being usually used for sensor networking and interconnecting the Internet of Things. There is an effort to locate or track these sensor entities for different needs the radio signal time of flight principle from the theoretical and practical side of application research is evaluated. Since these sensor devices are mainly targeted for low power consumption appliances, there is always need for optimization of any aspects needed for regular sensor operation. For the distance estimation we benefit from IEEE 802.15.4a technology, which offers the precise ranging capabilities. There is no need for additional hardware to be used for the ranging task and all fundamental measurements are acquired within the 15.4a standard compliant hardware in the real environment. The proposed work examines the problems and the solutions for implementation of distance estimation algorithms for WSN devices. The main contribution of the article is seen in this real testbed evaluation of the ranging technology.

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“…RTLSs can use various wireless communication systems such as Wi‐Fi [3], Bluetooth 4.0 [4], 802.15.4 [5], radio frequency (RF) identification [6–9], global positioning system (GPS) [10] and frequency bands like ultra high frequency [11] or ultra wide band (UWB) [12, 13]. Excluding GPS that is not reliable in indoor environments, all mentioned communication systems can be used in indoor scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…The signal timing approach [5, 17, 18, 20] needs time synchronisation between readers and tags, hence the system cost is higher than the one based on RSSI; nevertheless, the signal timing approach achieves an higher localisation accuracy than the RSSI‐based system.…”

Section: Introductionmentioning

confidence: 99%

Indoor ranging and localisation algorithm based on received signal strength indicator using statistic parameters for wireless sensor networks

Pagano

Peirani

Valle

2015

IET wirel. sens. syst.

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This paper addresses the implementation of indoor real-time localisation system (RLTS) using wireless sensor\ud networks. A RLTS consists of anchor nodes (i.e. nodes with fixed and known locations), beacon nodes and a location\ud engine: the beacon node to be localised sends a packet which is captured from some anchor nodes, the anchor nodes\ud forward the information extracted from the packet to the location engine for the estimation of the position of the\ud transmitting beacon node. The authors present an algorithm that achieves beacon node localisation accuracy of a few\ud metres in indoor environments. The algorithm is based on two steps: in the first step, the algorithm computes the\ud ranging between anchor nodes and beacon node, in the second one, the algorithm estimates the beacon node\ud localisation. The received signal strength indicator (RSSI) is used for the ranging estimation. The proposed approach\ud avoids dedicated and expensive devices, which are used for the synchronisation between beacon and anchor nodes, to\ud compute the time-of-flight of the signal. The authors introduce a confidence parameter for improving accuracy\ud (based on the standard deviation of the RSSI), and an anchor nodes selection strategy for tackling the problem of nonline-\ud of-sight communication between nodes

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Real Time Locating System for Wireless Networks using IEEE 802.15.4 Radio

Cited by 11 publications

References 2 publications

A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

Indoor ranging and localisation algorithm based on received signal strength indicator using statistic parameters for wireless sensor networks

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