科技通报
科技通報
과기통보
Bulletin of Science and Technology
2015年
10期
58-60
,共3页
通信网络%特征配准%传感器%信号处理
通信網絡%特徵配準%傳感器%信號處理
통신망락%특정배준%전감기%신호처리
communication network%feature matching%sensor%signal processing
光传感器网络通信应用环境中,受到发射功率高、电磁干扰强等复杂背景影响,导致通信信号非线性失真,需要进行非线性失真抑制处理,改善传感器网络通信性能.提出一种基于单周信道正负信号特征配准的复杂光传感器网络通信的非线性失真抑制算法.将传感器网络通信系统的通信实信号分解为正信号和负信号,采用分段拟合的方式,构建复杂光传感器信号解析模型,进行特征配准实现非线性失真抑制.仿真实验以峰值平均功率比为评价指标,进行性能验证,结果分析表明,采用该算法进行复杂光传感器网络通信,稳定性和精确度优于传统算法,抗噪性能较好,提高峰值平均功率,能有效实现非线性失真抑制.
光傳感器網絡通信應用環境中,受到髮射功率高、電磁榦擾彊等複雜揹景影響,導緻通信信號非線性失真,需要進行非線性失真抑製處理,改善傳感器網絡通信性能.提齣一種基于單週信道正負信號特徵配準的複雜光傳感器網絡通信的非線性失真抑製算法.將傳感器網絡通信繫統的通信實信號分解為正信號和負信號,採用分段擬閤的方式,構建複雜光傳感器信號解析模型,進行特徵配準實現非線性失真抑製.倣真實驗以峰值平均功率比為評價指標,進行性能驗證,結果分析錶明,採用該算法進行複雜光傳感器網絡通信,穩定性和精確度優于傳統算法,抗譟性能較好,提高峰值平均功率,能有效實現非線性失真抑製.
광전감기망락통신응용배경중,수도발사공솔고、전자간우강등복잡배경영향,도치통신신호비선성실진,수요진행비선성실진억제처리,개선전감기망락통신성능.제출일충기우단주신도정부신호특정배준적복잡광전감기망락통신적비선성실진억제산법.장전감기망락통신계통적통신실신호분해위정신호화부신호,채용분단의합적방식,구건복잡광전감기신호해석모형,진행특정배준실현비선성실진억제.방진실험이봉치평균공솔비위평개지표,진행성능험증,결과분석표명,채용해산법진행복잡광전감기망락통신,은정성화정학도우우전통산법,항조성능교호,제고봉치평균공솔,능유효실현비선성실진억제.
The optical sensor network communication application environment, has the effect of high emission power, strong electromagnetic interference and complex background, causes distortion in communication signal nonlinear, the need for nonlinear distortion suppression treatment, improve communication performance of sensor network. A nonlinear communi-cation complex optical sensor network characteristics of positive and negative signal channel single week registration is pro-posed based distortion suppression algorithm. The communication of real signal communication system for sensor network is decomposed into positive and negative signal signal, using piecewise fitting method, construct the complex optical sensor signal analytical model, feature registration nonlinear distortion suppression realization. The simulation experiment to the peak to average power ratio as evaluation index, performance verification, results of the analysis show that, using this algo-rithm to communicate complex optical sensor network, stability and accuracy than the traditional algorithm, better anti noise performance, improve the peak to average power, can effectively realize the nonlinear distortion suppression.