P
Peng He
Researcher at Xidian University
Publications - 5
Citations - 20
Peng He is an academic researcher from Xidian University. The author has contributed to research in topics: Spread spectrum & Network packet. The author has an hindex of 3, co-authored 5 publications receiving 20 citations.
Papers
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Proceedings ArticleDOI
A novel geographic routing algorithm for ad hoc networks based on localized Delaunay triangulation
Peng He,Jiandong Li,Lei Zhou +2 more
TL;DR: A new online routing algorithm GLNFR (greedy and local neighbor face routing) for finding paths between the nodes of the ad hoc networks by storing a small amount of local face information at each node by using the localized Delaunay triangulation.
Patent
Wavelet packet multi-carrier spread-spectrum system and control method based on neural net equalizer
Jiandong Li,Lei Zhou,Guanghui Zhang,Peng He,Wenzhu Zhang,Changle Li,Xuan Wang,Xiaodong Zhou,Linjing Zhao,Liang Chen,Zhuo Lu,Jiyong Pang +11 more
TL;DR: In this article, a small wave packet multi-carrier amplifying-frequency system based on neural net balancer and its controlling method is described. But the authors do not reveal the control mechanism.
Proceedings ArticleDOI
A Novel Distributed Topology Control Algorithm for Ad Hoc Networks
Peng He,Jiandong Li,Wei Dong +2 more
TL;DR: A distributed topology control algorithm for ad hoc networks with directional antennas that increases network lifetime by reducing transmission power and decreases traffic interference by having low node degrees is proposed.
Proceedings ArticleDOI
Novel WPDM System Based on Channel Equalization for Multipath Fading Channels
Lei Zhou,Jiandong Li,Peng He +2 more
TL;DR: A novel wavelet packet division multiplexing (WPDM) system based on channel equalization and Htilde matrix based on ZF (zero forcing) algorithm is studied for multipath fading channels.
Book ChapterDOI
WPSS communication system based on CRBF network equalizers
Lei Zhou,Jiandong Li,Peng He +2 more
TL;DR: The theoretical analysis and simulation results show that the proposed CRBF channel equalizer structure which uses least mean square (LMS) algorithm to obtain the optimized equalizer weights offers both fast convergence and low value of the mean square error.