Mr. Peng Wu Profile

Peng Wu

at National Univ of Defense Technology

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Proceedings Article | 31 January 2020 Paper

The research of wideband spectrum sensing algorithm based on multi-resolution singular spectral entropy

Yangyi Chen, Shaojing Su, Peng Wu, Xudong Wen

Proceedings Volume 11427, 1142744 (2020) https://doi.org/10.1117/12.2553182

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With the rapid development of wireless technology, spectrum resources become more and more scare. In order to solve the shortage of spectrum resources, cognitive radio technology is proposed and spectrum sensing is the key technology of it. At present, wide bandwidth signals have been widely used for data transmission and wideband spectrum sensing has become the research focus. Aiming at this problem, this paper proposes a non-cooperative wideband spectrum sensing algorithm based on multi-resolution singular spectrum entropy. Wavelet packet decomposition technology is used to decompose the wideband signalsinto multiple wavelet packet coefficients and each wavelet packet coefficient represents the signal’s characteristics of different frequency bands. On the basis of that, the singular spectrum entropy analysis is performed on the wavelet packet coefficients in the same channel. After that, the spectrum state information of different channels is obtained. Simulations show that the proposed algorithm has better performance than traditional spectrum sensing algorithm and it improves the detection probability of the signals effectively even at low SNR.

Proceedings Article | 31 August 2018 Paper

Simulation-based analysis of bounding box localization algorithm for wireless sensor network

Peng Wu, Shaojing Su, Xiaojun Guo

Proceedings Volume 10835, 1083519 (2018) https://doi.org/10.1117/12.2504759

KEYWORDS: Sensors, Sensor networks, Error analysis

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Wireless Sensor Network (WSN) technology has been applied more and more widely and node localization is an important aspect of it. Bounding Box localization algorithm has been used in many cases. The purpose of this paper is to study the localization accuracy of the three different strategies based on Bounding Box localization algorithm and to explore the influence of the two parameters, the number of the anchor nodes and communication radius, on the localization accuracy. Firstly, the paper illustrates the principals of three strategies according to whether the unknown nodes that have been located will participate in locating other unknown nodes or not. Then the simulation condition is set, and the average localization error is gotten using three strategies respectively. The result shows the localization accuracy of Strategy C is the highest. Finally, the paper studies the influence of the number of the anchor nodes and the length of the communication radius on the localization accuracy and gives the optimal number of anchor nodes and communication radius when used in practice.

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