A method of obstacle identification in ultra wideband wireless sensor networks

作者：You Minglei^*; Jiang Ting

来源：International Journal of Sensor Networks, 2015, 17(1): 63-72.

DOI：10.1504/IJSNET.2015.067589

• target detection
• obstacle identification
• UWB
• ultra wideband
• WSN
• wireless sensor network
• selected bispectra
• RBF
• radial-basis function
• foliage environment

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 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.

• 出版日期2015
• 单位北京邮电大学