Threshold Selection for Ultra-Wideband TOA Estimation based on Neural Networks

Cui, Xuerong; Zhang, Hao; Gulliver, T. Aaron

doi:10.4304/jnw.7.9.1311-1318

Cited by 13 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the wireless positioning methods are based on ranging or timing delay estimation from the base station to the target positioning sensor (the vehicular node to be positioned), for example time of arrival (TOA) [ 10 ], time difference of arrival (TDOA) and received signal strength (RSS) [ 11 , 12 ]. However, there is a very challenging problem for ranging estimation due to the severe multi-path, reflection, and inter-symbol interference environments encountered [ 13 , 14 ].…”

Section: Related Workmentioning

confidence: 99%

A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks

Cui

et al. 2015

Sensors

View full text Add to dashboard Cite

Vehicle positioning technology has drawn more and more attention in vehicular wireless networks to reduce transportation time and traffic accidents. Nowadays, global navigation satellite systems (GNSS) are widely used in land vehicle positioning, but most of them are lack precision and reliability in situations where their signals are blocked. Positioning systems base-on short range wireless communication are another effective way that can be used in vehicle positioning or vehicle ranging. IEEE 802.11p is a new real-time short range wireless communication standard for vehicles, so a new method is proposed to estimate the time delay or ranges between vehicles based on the IEEE 802.11p standard which includes three main steps: cross-correlation between the received signal and the short preamble, summing up the correlated results in groups, and finding the maximum peak using a dynamic threshold based on the skewness analysis. With the range between each vehicle or road-side infrastructure, the position of neighboring vehicles can be estimated correctly. Simulation results were presented in the International Telecommunications Union (ITU) vehicular multipath channel, which show that the proposed method provides better precision than some well-known timing estimation techniques, especially in low signal to noise ratio (SNR) environments.

show abstract

Section: Related Workmentioning

confidence: 99%

A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks

Cui

et al. 2015

Sensors

View full text Add to dashboard Cite

show abstract

“…In [5], a normalized threshold algorithm was proposed which using the minimum and maximum sample values. In [6], a threshold selection algorithm exploiting Kurtosis of received signal in Ultra-Wide Band system was proposed. These approaches have limited TOA precision because the strongest path is usually not the first path.…”

Section: Introductionmentioning

confidence: 99%

Threshold Selection Algorithm of Joint Metric for TOA Estimation in 60GHz Sensor Networks

Du¹,

Zhang

Lv³

et al. 2016

Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Self Cite

View full text Add to dashboard Cite

Impulse radio (IR) 60GHz signal has been applied in ranging and localization systems because of higher multipath resolution. In order to improve the precision of the TOA estimation, a threshold selection algorithm based on a Joint Metric of the Skewness and Kurtosis after Energy Detection is proposed. According to the algorithm, a function used to describe the relationship between joint metric and normalized threshold is built and the performance compared to other algorithms is analyzed via IEEE802.15.3c CM1.1 channel. The result shows that the threshold selection algorithm proposed in this paper provides higher precision and robustness with different SNR environment in 60GHz sensor networks. 0.1, 8.01 ns best J J J J J J J J

show abstract

“…In [13], a normalized threshold algorithm was proposed which using the minimum and maximum sample values. In [14], a normalized threshold selection algorithm for TOA estimation of UWB (Ultra-Wide Band) signals which are exploiting the Skewness of the received signal was proposed. In [15], a method using fixed threshold value to estimate the TOA delay was applied.…”

mentioning

confidence: 99%

Threshold Selection for TOA Estimation Based on Skewness and Kurtosis in 60GHz Ranging System

Du¹,

Zhang²,

Lv³

et al. 2016

JCM

Self Cite

View full text Add to dashboard Cite

Accurate localization has gained significant interests in the field of ranging, locating and tracking systems. Impulse Radio (IR) 60GHz signal is practically operated in the literature, because of its high resolution of time and multipath. In order to improve the precision of the Time of Arrival (TOA) estimation, a threshold selection algorithm based on a joint metric of the skewness and kurtosis after energy detection is proposed in this paper. In addition, the optimal normalized threshold based on signal-to-noise ratio (SNR) is investigated, and the effects of integration period as well as channel model are validated. Then the performance under IEEE 802.15.3c Line of Sight (LOS) and None Line of Sight (NLOS) channel models is evaluated respectively. The results show that the proposed threshold selection algorithm is able to provide higher precision and robustness for TOA estimation over a long range of SNR in the 60GHz ranging system.

show abstract

Threshold Selection for Ultra-Wideband TOA Estimation based on Neural Networks

Cited by 13 publications

References 18 publications

A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks

A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks

Threshold Selection Algorithm of Joint Metric for TOA Estimation in 60GHz Sensor Networks

Threshold Selection for TOA Estimation Based on Skewness and Kurtosis in 60GHz Ranging System

Contact Info

Product

Resources

About