Multi-sensor data fusion algorithm based on measurement adaptive identification

HU Zhen-tao1; JIA Pei-yan1; FU Chun-ling2; DU Hai-shun1

doi:10.13873/j.1000-97872012.06.046

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Multi-sensor data fusion algorithm based on measurement adaptive identification

更新时间：2025-09-11

- Multi-sensor data fusion algorithm based on measurement adaptive identification
- Vol. 31, Issue 6, Pages: 146-149(2012)
- 作者机构：
  
  1. 河南大学图像处理与模式识别研究所
  2. 河南大学基础实验教学中心
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.06.046
  CLC： TP202
- Published：2012
- 稿件说明：
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[1]胡振涛,贾培燕,付春玲,杜海顺.基于量测自适应辨识的多传感器数据融合算法[J].传感器与微系统,2012,31(06):146-149.

HU Zhen-tao1, JIA Pei-yan1, FU Chun-ling2, et al. Multi-sensor data fusion algorithm based on measurement adaptive identification[J]. 2012, 31(6): 146-149.
[1]胡振涛,贾培燕,付春玲,杜海顺.基于量测自适应辨识的多传感器数据融合算法[J].传感器与微系统,2012,31(06):146-149. DOI： 10.13873/j.1000-97872012.06.046.

HU Zhen-tao1, JIA Pei-yan1, FU Chun-ling2, et al. Multi-sensor data fusion algorithm based on measurement adaptive identification[J]. 2012, 31(6): 146-149. DOI： 10.13873/j.1000-97872012.06.046.

摘要

针对量测不确定条件下多传感器量测数据的合理利用和有效融合问题

提出了一种量测不确定下多传感器量测自适应数据融合算法。算法实现中考虑到传感器量测受扰动影响的具体情况

通过单个传感器的量测似然度的求解确认等效量测

并利用传感器量测数据间统计距离的构建完成对等效量测优化

进而实现不含扰动影响传感器量测数据的合理选择和融合。理论分析和仿真实验验证结果表明:新算法不仅有效改善扰动对于滤波精度的不利影响

并且相对于分布式融合方式降低计算复杂度。

Abstract

Aiming at the effective utilization and fusion of multi-sensor measurement in measurement uncertainty

a novel multi-sensor measurement adaptive data fusion algorithm is proposed.In the new algorithm

influence of interference on sensor measurement is considered.By calculation of measurement likelihood equivalent measurement is confirmed.Statistic distance among the measurement datas is constructed to optimize the equivalent measurement.The reasonable selection and fusion of measurement datas is accomplished.The theoretical analysis and simulation experimental results show the new algorithm not only effectively improves adverse effect of interference on filtering precision

but also reduce computational complexity compared with the distributed fusion method.

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