通信学报2011，Vol.32Issue(6)：141-147,7.
无线传感网络协同概率多模识别方法
Collaborative probability based multimodel target identification in wireless sensor networks
摘要
Abstract
A collaborative probability based multimodel target identification method for the applications in wireless sensor networks was proposed. Wavelet package was used to extract the features of the target information sample, and in order to decrease the computing complexity and reserve the key information as well, feature compaction, which achieved by principal components analysis, was carried out before learning. Different types of Gaussian classifier were developed for classifier learning. To gain global optimal results, committee decision was employed to select and combine individual decisions with dynamically adjusted weights. The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.关键词
无线传感网络/协同概率/多模目标识别/高斯过程分类Key words
wireless sensor networks/ collaborative probability/ multimodel target identification/ Gaussian process classifier分类
信息技术与安全科学引用本文复制引用
孙欣尧,王雪,王晟..无线传感网络协同概率多模识别方法[J].通信学报,2011,32(6):141-147,7.基金项目
国家重点基础研究发展计划("973"计划)基金资助项目(2006CB303000)国家自然科学基金资助项目(60970103,60673176,60373014,50175056)教育部博士点基金资助项目(20090002110016) （"973"计划）
