|
|
|
| Review of Multi-Sensor Data Fusion for Target Tracking |
| TANG Shengjing1， WANG Taiyan1， ZHAO Ganglian2，
GUO Jie1， LI Jiali3， YIN Hang4 |
| 1. School of Aerospace Engineering， Beijing Institute of Technology，Beijing 100081， China；2. Unit 93184 of PLA， Beijing 100076， China；3. Beijing Institute of Control and Electronic Technology， Beijing 100038， China；
4. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China |
|
|
|
|
Abstract With the increasing complexity of target-tracking scenarios, single-sensor detection systems cannot satisfy the practical requirements of target tracking. Multi-sensor data fusion technology has thus become an important solution for target tracking in complex scenarios. This paper reviewed the basic principles and research status of two key processes in multi-sensor data fusion: data association and estimating fusion. The relevant research on applying artificial intelligence technologies such as neural networks and reinforcement learning in multi-sensor data fusion was introduced. Finally, the development of multi-sensordata fusion methods in the field of target tracking was prospected.
|
|
Received: 16 March 2024
Published: 10 September 2024
|
|
|
|
|
|
| [1] |
LI Shoupeng, TAO Zhenji, ZHANG Xiaoyu, XU Shihui, JIN Xiaoqin. Distributed Information Filtering-Based Cooperative Localization Method for Cluster Missiles[J]. Air & Space Defense, 2024, 7(2): 36-41. |
| [2] |
WANG Jianyuan, CHEN Xiaotong, ZHANG Yue, SUN Junge, SHI Donghao, CHEN Jinbao. Urban Target Detection Algorithm Based on Multi-Modal Fusion of UAV[J]. Air & Space Defense, 2024, 7(1): 32-39. |
| [3] |
SHI Dashan, GE Yuhang, MENG Guangwei, JI Biao, CAI Kerong. Analysis of the Development and Key Technologies of Missile-borne Integrated Avionics System[J]. Air & Space Defense, 2023, 6(3): 52-57. |
| [4] |
LI Yin, GUO Jianbin, ZHANG Shaowei, WANG Kunyun, CI Huipeng. Safety Modeling Method of Human-Machine System Based-on JACK and Situation Awareness[J]. Air & Space Defense, 2023, 6(1): 29-37. |
| [5] |
DENG Chen, KONG Yinan, WANG Qing, CHEN Gong. Research on Empirical Engineering Correction Algorithm Integrating Physical Laws[J]. Air & Space Defense, 2022, 5(3): 73-79. |
| [6] |
HE Zishu, SU Yang, CHENG Ting. Opportunistic Cooperative Target Tracking Algorithm Based on the Co-located MIMO Radar Networking System[J]. Air & Space Defense, 2022, 5(1): 6-11. |
| [7] |
ZHAO Renxing, WANG Ling, FENG Mingyue, JIA Wentong. Analysis of Combat Concept of "Mosaic Warfare" and Countermeasures[J]. Air & Space Defense, 2021, 4(3): 48-54. |
| [8] |
ZHAO Huipan, LIU Huanyu. Low Signature Target Group Detection Based on Multimodal Data Learning Fusion Network[J]. Air & Space Defense, 2021, 4(3): 41-47. |
| [9] |
TONG Pengfei, CHEN Hao, XU Xinpeng, ZHOU Ge. Study on Information Fusion Technology of Multi-missile Multi-target Collaborative Detection[J]. Air & Space Defense, 2020, 3(3): 54-62. |
| [10] |
CUI Naigang , CAI Ligen, RONG Siyuan. High-speed Gliding Target Tracking Algorithm Based on Digraph Switching IMM-CKF[J]. Air & Space Defense, 2020, 3(3): 1-8. |
| [11] |
ZHANG Jihua, WEI Yali, LI Zhi, ZHOU Xiaochuan. Research on Filtering Algorithm of Missileborne Single-base Angular Measurement & Passive Positioning[J]. Air & Space Defense, 2020, 3(1): 34-40. |
| [12] |
WANG Xinliang, CAI Weifeng, QIU Lingcun, YUAN Aihua, CAO Zheng. Research on Data Association Algorithm Based on Lineofsight Distance in Photoelectric Two-dimensional Detection System[J]. Air & Space Defense, 2019, 2(4): 51-56. |
| [13] |
ZHOU Beibei, LIU Jue. Application of Intelligent Technology in Precision Strike System[J]. Air & Space Defense, 2019, 2(3): 77-83. |
| [14] |
LIAO Xin, ZHU Ying, SHI Randong, GUO Zhengyong. Bias Calibration for MEMS Gyro Based on Kalman Filter[J]. Air & Space Defense, 2019, 2(1): 33-36. |
| [15] |
QIU Zhiming, LUO Rong, WANG Liang, XIAO Yujie, LI Ye, HE Yi. Some Thoughts on the Application of Military Intelligence Technology in Naval Warfare[J]. Air & Space Defense, 2019, 2(1): 1-5. |
|
|
|
|
2024, Vol. 7 
