Threshold selection method for UWB TOA estimation based on wavelet decomposition and kurtosis analysis

Li, Juan; Cui, Xuerong; Song, Houbing; Li, Zhongwei; Liu, Jianhang

doi:10.1186/s13638-017-0990-4

Cited by 14 publications

(11 citation statements)

References 21 publications

(35 reference statements)

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“…The authors in [70], used these metrics to analyze vehicle-to-vehicle (V2V) communications in small-scale fading channels. Threshold selection methods for time of arrival (ToA) estimation in ultra-wide band (UWB) and 60 GHz communications based on kurtosis and Skewness were proposed in [71], [72], respectively.…”

Section: Kurtosismentioning

confidence: 99%

Product and Ratio of Product of Fisher-Snedecor ℱ Variates and Their Applications to Performance Evaluations of Wireless Communication Systems

et al. 2020

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This paper considers the product, and the ratio of the product of Fisher-Snedecor F random variables (RVs), which can be used in modeling fading conditions that are encountered in realistic wireless transmission. To this end, exact analytical expressions are derived for the probability density function (PDF) and cumulative distribution function (CDF) of the product of N statistically independent, but not necessarily identically distributed, Fisher-Snedecor F RVs. Capitalizing on these, exact analytical expressions are then derived for the outage probability, average channel capacity and average bit error probability over cascaded fading channels. Moreover, some important statistical metrics such as amount of fading, channel quality estimation index, kurtosis, and skewness are also provided, since they provide useful insights on the characteristics of the encountered fading conditions. In addition, with the aid of the central limit theorem, an approximation for the PDF of N * Fisher-Snedecor F RVs is proposed using a lognormal density, and its accuracy is quantified in terms of the resistor-average distance. Finally, novel expressions for the PDF and CDF of the N-fold product ratio of Fisher-Snedecor F RVs are also derived. As a potential application of our new results, a spectrum sharing network is considered, for which exact analytical expressions for the outage probability, delay-limited capacity, and ergodic capacity are derived. For the cascaded fading scenario and the spectrum sharing network, numerical examples are provided to show the impact of different channelrelated parameters, such as fading severity, shadowing, peak and average interference power on the system performance, which is rather useful in the design of conventional and emerging wireless communication systems. Monte-Carlo simulation results are provided to corroborate the presented mathematical analysis. INDEX TERMS Cascaded channels, cognitive radio, fading, F distribution, shadowing, spectrum sharing.

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Section: Kurtosismentioning

confidence: 99%

Product and Ratio of Product of Fisher-Snedecor ℱ Variates and Their Applications to Performance Evaluations of Wireless Communication Systems

et al. 2020

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“…Then, the same method was applied to cA1 for obtaining the approximate component cA2 and detailed component cD2 of the second layer. We repeated this process until we reached the preset decomposition level [24]. The decomposition process is shown in Figure 5.…”

Section: Wavelet Analysismentioning

confidence: 99%

A Method of Pedestrian Flow Monitoring Based on Received Signal Strength

Yang

Wen

Huang

2021

Preprint

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In large public places such as scenic tourist areas, shopping malls, stations, squares, and so on, there is a wide demand for people counting and pedestrian flow monitoring. Based on the feedback from the pedestrian flow monitoring system, resources can be optimally allocated to maximize social and economic benefits. Moreover, trampling accidents can be avoided because pedestrian guidance is carried out in time. In order to meet these requirements, we propose a method of pedestrian flow monitoring based on the received signal strength (RSS) of wireless sensor networks. This method mainly utilizes the shadow attenuation effect of pedestrians on RF signals of effective links. In this paper, a deployment structure of a radio frequency wireless sensor network is firstly designed to monitor the pedestrians. Secondly, the features are extracted from the wavelet decomposition of RSS signal series with a short time. Lastly, the support vector machine (SVM) algorithm is trained by an experimental data set to distinguish the instantaneous number of pedestrians passing through the monitoring point. The experimental results show that the accuracy is about 92.9% in the context of real-time pedestrian flow monitoring.In large public places such as scenic tourist areas, shopping malls, stations, squares, and so on, there is a wide demand for people counting and pedestrian flow monitoring. Based on the feedback from the pedestrian flow monitoring system, resources can be optimally allocated to maximize social and economic benefits. Moreover, trampling accidents can be avoided because pedestrian guidance is carried out in time. In order to meet these requirements, we propose a method of pedestrian flow monitoring based on the received signal strength (RSS) of wireless sensor networks. This method mainly utilizes the shadow attenuation effect of pedestrians on RF signals of effective links. In this paper, a deployment structure of a radio frequency wireless sensor network is firstly designed to monitor the pedestrians. Secondly, the features are extracted from the wavelet decomposition of RSS signal series with a short time. Lastly, the support vector machine (SVM) algorithm is trained by an experimental data set to distinguish the instantaneous number of pedestrians passing through the monitoring point. The experimental results show that the accuracy is about 92.9% in the context of real-time pedestrian flow monitoring.

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“…Impulse radio ultrawideband (IR-UWB) technique, which yields the advantages of a high data rate, low power consumption, low computational complexity, low power spectrum, and great immunity to multipath fading, has been widely applied in various fields, e.g., radar, location, and wireless communications [1][2][3][4][5]. An IR-UWB signal has great potential in precise positioning applications due to its extremely narrow pulse width [6].…”

Section: Introductionmentioning

confidence: 99%

“…(1) We propose an improved root-MUSIC algorithm for joint TOA and DOA estimation in the IR-UWB positioning system. By constructing and exploiting the relationship between the received signal of the two antennas, the 2D SPS is transformed into 1D SPS and the polynomial root finding is performed to further reduce complexity (2) The proposed algorithm can fully use the signal subspace and noise subspace to obtain autopaired TOA estimates…”

Section: Introductionmentioning

confidence: 99%

TOA and DOA Estimation for IR‐UWB Signals: An Efficient Algorithm by Improved Root‐MUSIC

2021

Wireless Communications and Mobile Computing

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The automatically paired time of arrival (TOA) and direction of arrival (DOA) can be jointly estimated via a high-precision multidimensional spectral peak search- (SPS-) based multiple signal classification (MUSIC) algorithm in the impulse radio ultrawideband (IR-UWB) positioning system, while heavy computational burden is required. To tackle this issue, we propose an improved root-MUSIC algorithm for joint TOA and DOA estimation. After modelling the frequency domain form of the received signal, the algorithm first uses the signal subspace to establish the relationship between the two antennas. Then, the MUSIC spatial spectrum function is reconstructed with this relation, which enables it to offer a spectrum function in regard to the one-dimensional (1D) parameter of time delay. For further reducing the complexity, the TOA estimates of one antenna are obtained via 1D polynomial root finding instead of SPS, and the TOA estimates of the other antenna can be calculated by the established relationship. Finally, the DOA estimation can be achieved with the estimated TOAs. Due to the relationship between two antennas with signal subspace, the parameters estimated by the proposed algorithm are autopaired. Numerical simulations substantiate the superiority of the proposed algorithm.

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Threshold selection method for UWB TOA estimation based on wavelet decomposition and kurtosis analysis

Cited by 14 publications

References 21 publications

Product and Ratio of Product of Fisher-Snedecor ℱ Variates and Their Applications to Performance Evaluations of Wireless Communication Systems

Product and Ratio of Product of Fisher-Snedecor ℱ Variates and Their Applications to Performance Evaluations of Wireless Communication Systems

A Method of Pedestrian Flow Monitoring Based on Received Signal Strength

TOA and DOA Estimation for IR‐UWB Signals: An Efficient Algorithm by Improved Root‐MUSIC

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