摘要
与传统的星形拓扑结构下无中继辅助估计策略相比,新颖的中继辅助分布式参数估计(RADE)策略能利用中继节点协作传输,提高系统估计性能,对传输能量和处理能力受限的无线传感器网络有极大帮助.根据中继节点的信号处理方式,分为放大转发(AF)和估计转发(EF)2种中继辅助分布式估计策略.通过凸优化算法得到上述2种估计策略的闭式解.仿真结果表明,此策略能在不额外占用带宽的情况下提供更好的估计性能.
The decentralized estimation of a noise-corrupted deterministic parameter in wireless sensor networks with the aid of relay is considered.A new relay-aided decentralized estimation（RADE） scheme is proposed,by which relay collects the overheard messages from sensors and sends the locally processed message to a destination.Amplify-and-forward（AF） and estimate-and-forward（EF） strategies are proposed and the corresponding closed-form solutions are derived.Numerical simulation shows the proposed strategies can provide better estimation performance without any bandwidth loss.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2009年第5期28-31,共4页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(60872049
60871042)
关键词
放大转发
估计转发
中继辅助
分布式估计
amplify-and-forward
estimate-and-forward
relay-aided
decentralized estimation
