Heterogeneous Multi-sensor Data Fusion in Radar Signal Processing

被引：1
|
作者：
Liu, Qiyue [1 ]
Zhang, Qi [2 ]
机构：
[1] Chinese Peoples Liberat Army, Troop 91245, Huludao, Peoples R China
[2] Naval Univ Engn, Sch Elect Engn, Wuhan, Hubei, Peoples R China
来源：
2019 4TH INTERNATIONAL CONFERENCE ON ELECTROMECHANICAL CONTROL TECHNOLOGY AND TRANSPORTATION (ICECTT 2019) | 2019年
关键词：
multi-sensor; precision tracking system; data fusion; radar signal processing;
D O I：
10.1109/ICECTT.2019.00037
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The complexity of the spatial environment and the ambiguity of the radar signal processing lower the reliability of the single radar in the precision tracking system. It has become a trend of using the radar in conjunction with other measurement equipment to improve the measurement accuracy, and this involves the comprehensive and multi-dimensional data fusion processing of the multi-sensor data. This paper summarized and analyzed the existing mechanisms and application methods of multi-sensor data fusion, and categorized the traditional and the new fusion methods according to their application scope, advantages, and disadvantages. These mainly include radar target detection, tracking, and recognition, as well as various heterogeneous sensors in the radar data fusion. Moreover, this paper also compared the data fusion algorithms and methods of different multi-sensors.
引用
收藏
页码：134 / 137
页数：4
相关论文
共 50 条
  • [21] The Research of Multi-sensor Data Fusion Technology
    Jiao, Wen-cheng
    Han, Shuai
    Cui, Pei-zhang
    Wang, Xin
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER SCIENCE (AICS 2016), 2016, : 294 - 299
  • [22] Research on multi-sensor data fusion technique
    Wang Hongliang
    Ma Zhigang
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 3480 - 3483
  • [23] Data Fusion in Distributed Multi-sensor System
    GUO Hang YU Min
    Geo-Spatial Information Science, 2004, (03) : 214 - 217
  • [24] Data Fusion and Trajectory Prediction of Multi-Sensor
    Ma Liang-liang
    Tian Fu-peng
    12TH ANNUAL MEETING OF CHINA ASSOCIATION FOR SCIENCE AND TECHNOLOGY ON INFORMATION AND COMMUNICATION TECHNOLOGY AND SMART GRID, 2010, : 213 - 218
  • [25] Tracking filter and multi-sensor data fusion
    Girija, G
    Raol, JR
    Raj, RA
    Kashyap, S
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2000, 25 (2): : 159 - 167
  • [26] Heterogeneous multi-sensor fusion for PHD filter in decentralized sensor networks
    Chai, Lei
    Yi, Wei
    Hoseinnezhad, Reza
    Kong, Lingjiang
    INFORMATION FUSION, 2023, 100
  • [27] Tracking filter and multi-sensor data fusion
    Girija, G.
    Raol, J.R.
    Raj, R.Appavu
    Kashyap, Sudesh
    Sadhana - Academy Proceedings in Engineering Sciences, 2000, 25 (02) : 159 - 167
  • [28] Clustering Methods for Multi-sensor data fusion
    Han, Liu
    Lei, Zhang
    2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE), 2012, : 1166 - 1169
  • [29] Multi-sensor data fusion in defence and aerospace
    Harris, CJ
    Bailey, A
    Dodd, TJ
    AERONAUTICAL JOURNAL, 1998, 102 (1015): : 229 - 244
  • [30] System Identification for Multi-Sensor Data Fusion
    Hernandez, Karla
    Spall, James C.
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 3931 - 3936
12345