A method of obstacle identification in ultra wideband wireless sensor networks. (1st January 2015)

• Record Type: Journal Article
• Authors: You, Minglei; Jiang, Ting
• Is Part Of: International journal of sensor networks. Volume 17:Number 1(2015)
• Page Start: 63
• Page End: 72
• Publication Date: 2015-01-01
• Subjects: target detection -- obstacle identification -- UWB -- ultra wideband -- WSNs -- wireless sensor networks -- selected bispectra -- RBF neural networks -- radial–basis function -- foliage environment -- vegetation effect -- trees; Sensor networks -- Periodicals; 681.2
• DOI: 10.1504/IJSNET.2015.067589
• Languages: English
• ISSNs: 1748-1279

Abstract

Obstacle identification is a difficult task, which is more challenged in foliage environment. In this paper, a method of target detection is proposed, which attempts to extract information from the data being transmitted around the wireless sensor network (WSN) to identify targets that might be within the local, foliage obscured scene. The selected bispectra algorithm is applied to extract the feature vector, as well as radial–basis function (RBF) neural network is used to realise the obstacle classification. According to the experiment results, this method is able to identify the existence and the different distances of the obstacles measured in outdoor foliage scene with a good recognition rate.