TDOA assisted RSSD localization in UWB

Gerok, Waldemar; Peissig, Jürgen; Kaiser, Thomas

doi:10.1109/wpnc.2012.6268764

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…However, that article regards tracking as an Markov process which could hardly eliminate the negative impact from accumulative error. The article by Gerok et al 38 combines TDOA and RSSD to estimate the target trajectory, and the localization accumulative error also easily occurs without absolute measurement. This article will address the above problems inherited in the existing research work.…”

Section: Related Workmentioning

confidence: 99%

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Jia

Guan

2018

International Journal of Distributed Sensor Networks

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The surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. Up to present, received signal strength indicator is the most common measuring mean for estimating the distance in sensor networks. However, in the presence of noise, it is impossible to gain the accurate distance based on received signal strength indicator. In this article, we propose a new tracking scheme based on received signal strength difference, which is the difference value of received signal strength indicators between two neighboring sampling steps. Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. Next, the possible zone is further immensely shrunk to the refined zone via the absolute values of received signal strength difference. Finally, we determine the target's final location by choosing the reference dot with the minimum norm in the refined zone. The simulation results demonstrate that the proposed tracking method achieves higher localization accuracy than the typical received signal strength indicator-based scheme. The received signal strength difference-based method also has good generality and robustness with respect to the noises with different deviation values and the target following arbitrarily state model.

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Section: Related Workmentioning

confidence: 99%

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Jia

Guan

2018

International Journal of Distributed Sensor Networks

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“…Time difference of arrival (TDOA) [15]- [19] is similar to the TOA method. TOA considers the time that the signal is used to arrive at each sensor, but the TDOA method is considered more from the TOA, which measures the time difference that each sensor receives.…”

Section: Introductionmentioning

confidence: 99%

Reduce RSSI Variance for Indoor Localization System Using Frequency Analysis

Suwannawach¹,

Chivapreecha²

2019

IJFCC

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“…There have been a smaller number of publications on fusion of TDOA and RSS that could be used for an uncooperative target. [15] uses only two anchor nodes for TDOA measurements to constrain the RSS solution from the other nodes to a single hyperbola. [16] is a hybrid of the signal attenuation difference of arrival (SADOA) algorithm and TDOA method, in which the equations are linearized and a least squares estimate of the location is iteratively found.…”

Section: Introductionmentioning

confidence: 99%

Wireless sensor network using hybrid TDOA/RSS tracking of uncooperative targets

Hedley

Zhai²

2014

2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)

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Accurate tracking of uncooperative wireless target devices, particularly WiFi devices, is valuable for many commercial, industrial and security applications. Tracking based on received signal strength is widely used, but has limited accuracy. The use of time-of-arrival (TOA) measurements can improve accuracy, but as most target devices cannot accurately measure TOA the device is not able to cooperate and timedifference-of-arrival (TDOA) techniques are required. In this paper we present a sensor network for tracking target devices based on both received signal strength and TDOA. A new hybrid algorithm combining both types of measurements based on a particle filter is presented, and shown to perform better than either technique alone. The use of difference of RSS measurements is also shown to give better tracking performance than RSS as errors in the assumed transmit power from the target do not affect the results.

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TDOA assisted RSSD localization in UWB

Cited by 7 publications

References 8 publications

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Reduce RSSI Variance for Indoor Localization System Using Frequency Analysis

Wireless sensor network using hybrid TDOA/RSS tracking of uncooperative targets

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