Multi-sensor fusion method on object-level based on deviation

WAN Shu-ping

doi:10.13873/j.1000-97872009.01.018

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Multi-sensor fusion method on object-level based on deviation

更新时间：2025-09-11

- Multi-sensor fusion method on object-level based on deviation
- Vol. 28, Issue 1, Pages: 22-23+26(2009)
- 作者机构：
  
  江西财经大学信息管理学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.01.018
  CLC： TP202
- Published：2009
- 稿件说明：
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[1]万树平.基于偏差的多传感器目标级融合方法[J].传感器与微系统,2009,28(01):22-23+26.

WAN Shu-ping. Multi-sensor fusion method on object-level based on deviation[J]. 2009, 28(1): 22-23+26.
[1]万树平.基于偏差的多传感器目标级融合方法[J].传感器与微系统,2009,28(01):22-23+26. DOI： 10.13873/j.1000-97872009.01.018.

WAN Shu-ping. Multi-sensor fusion method on object-level based on deviation[J]. 2009, 28(1): 22-23+26. DOI： 10.13873/j.1000-97872009.01.018.

摘要

针对具有多个特征指标的目标识别问题

提出了一种新的模糊传感器数据融合方法。该方法由最大最小隶属度函数得到相对距离矩阵

通过求解总偏差最小的数学规划问题

确定各特征的权重

从而给出目标识别算法

提高了目标识别结果的客观性。应用实例验证了算法的有效性。

Abstract

Aimed at the object recognition problem with multiple characteristic indices

a new fusion method for the fuzzy sensor data is proposed.The method introduces the max-min membership degree function to define the relative distance matrix.By solving the mathematical programming of minimizing total deviations

the weights of characteristic indices are determined.Hence

the algorithm of object recognition is given.The method improves the objectivity of recognition result.The applied example proves that the method is effective.

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references

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多传感器数据的Fisher判别法 [J]. 万树平. 传感器与微系统 . 2006(08)

Target recognition based on modified combination rule [J]. Chen Tianlu & Que Peiwen (Inst. of Automatic Detection, Shanghai Jiaotong Univ., Shanghai 200030, China). Journal of Systems Engineering and Electronics . 2006(02)

基于证据理论的模糊信息融合及其在目标识别中的应用 [J]. 邓勇,朱振福,钟山. 航空学报 . 2005(06)

可拓方法在多传感器信息融合工件识别中的应用 [J]. 车录锋,周晓军,徐志农,程耀东. 系统工程理论与实践 . 2000(08)

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Multi-sources information fusion algorithm in airborne detection systems [J] . Yan Yang,Zhanrong Jing,Tian Gao,Huilong Wang. Journal of Systems Engineering and Electronics . 2007 (1)

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