New algorithm of heterogeneous sensors information fusion

Abstract

Abstract: In view of the typical heterogeneous sensors fusion, radar and infrared fusion system, the heterogeneous fusion algorithm is proposed. The radar and infrared data is preprocessed, and filtered to get the local tracks respectively. It fuses to get the global track estimates based on Linear Minimum Mean Square Error（LMMSE）. Simulation results show that the proposed algorithm has good fusion accuracy.

Key words: heterogeneous sensors, track fusion, Linear Minimum Mean Square Error（LMMSE）, target tracking

摘要： 针对典型的雷达和红外异类传感器信息融合系统，提出了一种新的雷达和红外信息融合算法。对雷达和红外传感数据进行了预处理，分别滤波得到各自的局部航迹，基于线性最小均方误差准则（Linear Minimum Mean Square Error，LMMSE）对局部航迹进行融合以得到最终航迹。仿真结果表明：该算法可以对雷达和红外传感器进行有效融合并大幅提高航迹跟踪精度。

关键词: 异类传感器, 航迹融合, 线性最小均方误差, 目标跟踪

WANG Liqi, HOU Yanpeng. New algorithm of heterogeneous sensors information fusion[J]. Computer Engineering and Applications, 2016, 52(6): 107-110.

王立琦，侯彦鹏. 一种新的异类传感器信息融合算法[J]. 计算机工程与应用, 2016, 52(6): 107-110.

[1]	CHEN Fujian, XIE Weixin, XIA Ting. Adaptive Anti-occlusion Target Tracking Algorithm Based on LCT+ [J]. Computer Engineering and Applications, 2021, 57(22): 190-198.
[2]	WANG Bei, CHEN Jinguang, WANG Mingming. Improved Target Tracking Algorithm Based on Kernelized Correlation Filter in Complex Scenarios [J]. Computer Engineering and Applications, 2021, 57(2): 198-208.
[3]	LI Xiaohua, SU Jun, LI Xiuxiu. Underwater Bearing-Only Multi-target Tracking in Dense Clutter Environment Using Single Observation [J]. Computer Engineering and Applications, 2021, 57(17): 253-259.
[4]	CHEN Qinglin, GU Yu, SONG Zhonghao, NIE Shengdong. Semi-automatic Video Target Annotation by Combining Detection and Tracking [J]. Computer Engineering and Applications, 2021, 57(14): 223-230.
[5]	WANG Dexin, CHANG Faliang. Research on Dynamic Target Detection and Tracking System of Hexapod Robot [J]. Computer Engineering and Applications, 2021, 57(12): 180-185.
[6]	LI Yan, TANG Daming, ZHOU Yingliang, DAI Qingyu. Design of Wheelchair Following System Based on Computer Vision [J]. Computer Engineering and Applications, 2021, 57(10): 163-172.
[7]	WANG Wenhui, LI Peng, HU Yundi. Measurement Set Partitioning Algorithm for Extended Target Based on Target Prediction [J]. Computer Engineering and Applications, 2020, 56(8): 143-148.
[8]	WANG Guoyi, SUN Yongrong, WU Lei, ZENG Qinghua. Scale Adaptive Correlation Tracking Method for Circular Target Based on Block Detection [J]. Computer Engineering and Applications, 2020, 56(8): 177-184.
[9]	CHEN Yunfang, WU Yi, ZHANG Wei. Survey of Target Tracking Algorithm Based on Siamese Network Structure [J]. Computer Engineering and Applications, 2020, 56(6): 10-18.
[10]	LIU Xiaodong, SHANG Zhenhong, HUANG Huan. Target Tracking Method for Multi-Feature Fusion of Effective Blocks [J]. Computer Engineering and Applications, 2020, 56(3): 201-206.
[11]	ZHOU Fei, LUO Xiaoyong, LIU Yunping. Real-Time Correction of IMM Target Tracking Algorithm Based on Probability Model [J]. Computer Engineering and Applications, 2020, 56(21): 85-92.
[12]	WEI Yongqiang, YANG Xiaojun. Kernel Correlation Filtering Visual Tracking of Deep Feature [J]. Computer Engineering and Applications, 2020, 56(15): 147-152.
[13]	WANG Ling, WANG Hui, WANG Peng, LI Yanfang. Video Target Tracking Algorithm Using FasterMDNet [J]. Computer Engineering and Applications, 2020, 56(14): 123-130.
[14]	PAN Rongmin, YUAN Jie, WANG Hongwei, MI Tang. Research on Tracking Method of Mobile Robot Fusing Depth Information [J]. Computer Engineering and Applications, 2020, 56(14): 161-168.
[15]	CAO Wenwen1, KANG Bin2, YAN Jun1, DING Wan1. Sparse Representation Target Tracking via Multi-Source Data Fusion [J]. Computer Engineering and Applications, 2019, 55(6): 1-7.

New algorithm of heterogeneous sensors information fusion

一种新的异类传感器信息融合算法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics