四川轻化工大学学报（自然科学版）2026，Vol.39Issue(2)：96-106,11.DOI:10.11863/j.suse.2026.02.09
带宽与能量有限的无线传感网络卡尔曼滤波
Kalman Filtering for Wireless Sensor Networks with Limited Bandwidth and Energy
摘要
Abstract
To address the issues of limited bandwidth and battery energy in wireless sensor networks,an event-triggered distributed quantization and dimensionality reduction fused Kalman filtering algorithm is proposed.At the sensor nodes,the algorithm obtains the optimal transmission segments of local estimates via dimensionality reduction and quantization strategies.At the fusion center,a novel compensation scheme is adopted to compensate for the partial components transmitted by the sensors,yielding a recursive distributed fused Kalman filtering algorithm in the sense of linear minimum variance.Simulation results verify that,after 100 iterative steps,the total communication traffic of the proposed distributed Kalman filtering algorithm is reduced by 726 bits compared with the single quantization-based data compression algorithm,and by 528 bits compared with the single dimensionality reduction-based data compression algorithm.By employing the proposed algorithm,communication traffic is reduced,energy consumption and communication burden between sensor nodes and the fusion center are decreased,and the problems of bandwidth and energy constraints are effectively solved.关键词
融合卡尔曼滤波/有限带宽/事件触发/量化/降维Key words
fusion Kalman filtering/limited bandwidth/event-triggered/quantization/dimensionality reduction分类
信息技术与安全科学引用本文复制引用
冷勰,陈昌忠,舒大海,龙海军..带宽与能量有限的无线传感网络卡尔曼滤波[J].四川轻化工大学学报（自然科学版）,2026,39(2):96-106,11.基金项目
重庆市自然科学基金项目(CSTB2022NSCQ-MSX0789) （CSTB2022NSCQ-MSX0789）
四川轻化工大学科研创新团队项目(652A011 （）
652B005) （）
