Adaptive weighted fusion algorithm for non-stationary random sequence

CHEN Zheng1; ZHANG Sheng-xiu1; CAO Li-jia1; LIU Ying2; WU Lei2

doi:10.13873/j.1000-97872009.12.033

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Adaptive weighted fusion algorithm for non-stationary random sequence

更新时间：2025-09-11

- Adaptive weighted fusion algorithm for non-stationary random sequence
- Vol. 28, Issue 12, Pages: 100-102+105(2009)
- 作者机构：
  
  1. 第二炮兵工程学院
  2. 上海航天技术研究院第八设计部
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.12.033
  CLC： TP202
- Published：2009
- 稿件说明：
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[1]陈政,张胜修,曹立佳,刘英,吴蕾.非平稳随机序列的自适应加权融合算法[J].传感器与微系统,2009,28(12):100-102+105.

CHEN Zheng1, ZHANG Sheng-xiu1, CAO Li-jia1, et al. Adaptive weighted fusion algorithm for non-stationary random sequence[J]. 2009, 28(12): 100-102+105.
[1]陈政,张胜修,曹立佳,刘英,吴蕾.非平稳随机序列的自适应加权融合算法[J].传感器与微系统,2009,28(12):100-102+105. DOI： 10.13873/j.1000-97872009.12.033.

CHEN Zheng1, ZHANG Sheng-xiu1, CAO Li-jia1, et al. Adaptive weighted fusion algorithm for non-stationary random sequence[J]. 2009, 28(12): 100-102+105. DOI： 10.13873/j.1000-97872009.12.033.

摘要

针对非平稳的多传感器测量信号的融合问题

提出了一种非平稳随机序列的自适应加权融合算法

它能够实时估计并自适应地在线调整各传感器的最优加权因子。仿真研究表明:该算法能够有效地减小融合估计值的方差

提高测量精度。

Abstract

Aimed at the fusion problem of non-stationary signals measured by multi-sensor system

an adaptive weighted fusion algorithm for non-stationary random sequence is proposed

by which the optimum weighted factor of each sensor can be estimated and adaptively adjusted on-line.Simulation results demonstrate that the developed algorithm can efficiently decrease the variance of the fused value and improve measurement precision.

关键词

Keywords

references

多传感器数据自适应加权融合估计算法的研究 [J]. 翟翌立,戴逸松. 计量学报 . 1998(01)

非平稳随机信号分析与处理[M]. 国防工业出版社 , 王宏禹著, 1999

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