科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
8期
123-125
,共3页
无线网络%数据融合%自组织网络
無線網絡%數據融閤%自組織網絡
무선망락%수거융합%자조직망락
wireless network%data fusion%self organizing network
通过对自组织网络动态融合,提高复杂应用环境下的无线传感网络的稳定性和通信能力.传统方法中对自组织网络动态融合采用时延-多普勒域动态重组的融合机制,导致相邻节点功率均衡偏差,融合性能不好.提出一种基于分布传感的容迟自组织网络动态融合算法.构建无线传感自组织网络的网络模型,设计短距离通信的主从式无线传输信道自适应跟踪技术和冲激响应特性分析模型,使用分段副本相关检测器对分布频段内频谱进行分段滤波和检测,进行无线传输信道自适应均衡设计,通过相关处理后,可消除这种多径干扰的影响,得到分布传感的容迟自组织网络动态融合结果,实验得出,该算法的融合精度较高,信号保真度较好,优于传统算法,展示了较好的应用价值.
通過對自組織網絡動態融閤,提高複雜應用環境下的無線傳感網絡的穩定性和通信能力.傳統方法中對自組織網絡動態融閤採用時延-多普勒域動態重組的融閤機製,導緻相鄰節點功率均衡偏差,融閤性能不好.提齣一種基于分佈傳感的容遲自組織網絡動態融閤算法.構建無線傳感自組織網絡的網絡模型,設計短距離通信的主從式無線傳輸信道自適應跟蹤技術和遲激響應特性分析模型,使用分段副本相關檢測器對分佈頻段內頻譜進行分段濾波和檢測,進行無線傳輸信道自適應均衡設計,通過相關處理後,可消除這種多徑榦擾的影響,得到分佈傳感的容遲自組織網絡動態融閤結果,實驗得齣,該算法的融閤精度較高,信號保真度較好,優于傳統算法,展示瞭較好的應用價值.
통과대자조직망락동태융합,제고복잡응용배경하적무선전감망락적은정성화통신능력.전통방법중대자조직망락동태융합채용시연-다보륵역동태중조적융합궤제,도치상린절점공솔균형편차,융합성능불호.제출일충기우분포전감적용지자조직망락동태융합산법.구건무선전감자조직망락적망락모형,설계단거리통신적주종식무선전수신도자괄응근종기술화충격향응특성분석모형,사용분단부본상관검측기대분포빈단내빈보진행분단려파화검측,진행무선전수신도자괄응균형설계,통과상관처리후,가소제저충다경간우적영향,득도분포전감적용지자조직망락동태융합결과,실험득출,해산법적융합정도교고,신호보진도교호,우우전통산법,전시료교호적응용개치.
Based on the dynamic fusion self organization network, improve the stability and communication capabilities of wireless sensor network in complex application environment. In the traditional method of fusion mechanism from dynamic organization network fusion with delay Doppler domain dynamic reorganization, resulting in adjacent node power equaliza-tion deviation, fusion performance is not good. Put forward a kind of distributed sensing capacity based on self organization network fusion algorithm of dynamic delayed. Constructing the network model of wireless sensor network self-organization, design of short distance wireless transmission channel adaptive master-slave communication tracking technique and the im-pulse response characteristics model, using the distribution of frequency band spectrum segment filtering and detection of segmented replica correlation detector for wireless transmission channel adaptive equalization design, through the correla-tion processing, can eliminate the influence of the multipath interference, obtains the distribution sensing delay tolerant since the results, dynamic organization network fusion experiments, the algorithm has a high fusion accuracy and signal fi-delity is good, it is superior to traditional algorithm, it shows a good application value.