Multi-frame joint detection method based on tracking information

被引：1
|
作者：
Liu H. [1 ]
Chen C. [2 ]
Yue K. [1 ]
机构：
[1] Beijing Institute of Radio Measurement, Beijing
[2] Science and Technology on Electronic Information Control Laboratory, Chengdu
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2021年 / 43卷 / 08期
关键词：
Multi-frame joint detection; Tracking information; Weak targets;
D O I：
10.12305/j.issn.1001-506X.2021.08.13
中图分类号：
学科分类号：
摘要：
Traditional multi-frame joint detection methods are mainly designed for searching stage and higher detection threshold is required to decrease false alarms due to no target information. However, once track initiation is successful, target existence has already been confirmed, and the strategy of multi-frame joint detection can be adjusted ultilizing the target tracking information for improved detection performance of weak targets. Based on above considerations, a multi-frame joint detection method based on tracking information is presented in this paper. Firstly, the predicted gate is established based on current tracking information. Secondly, lower threshold of single frame detection is set to ensure high detection probability of weak target signals. Finally, the threshold of multi-frame joint detection under the constraint of constant track false alarm rate is adjusted for track maintenance and track deletion. Simulation experiments show that the presented method can significantly improve target detection probability and track maintenance probability. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：2124 / 2128
页数：4
相关论文
共 30 条
  • [1] ZHU S Q, LIAO G S, YANG D, Et al., A new method for radar high-speed maneuvering weak target detection and imaging, IEEE Geoscience and Remote Sensing Letters, 11, 7, pp. 1175-1179, (2013)
  • [2] SUN Z, LI X L, YI W, Et al., Detection of weak maneuvering target based on keystone transform and matched filtering process, Signal Processing, 140, 12, pp. 127-138, (2017)
  • [3] CHEN X L, GUAN J, CHEN W S, Et al., Sparse long-time coherent integration-based detection method for radar low-observable maneuvering target, IET Radar, Sonar & Navigation, 34, 3, pp. 542-550, (2019)
  • [4] HUANG P H, LIAO G S, YANG Z W, Et al., Long-time coherent integration for weak maneuvering target detection and high-order motion parameter estimation based on keystone transform, IEEE Trans.on Signal Processing, 64, 15, pp. 4013-4026, (2016)
  • [5] HUANG P H, XIA X G, LIAO G S, Et al., Long-time coherent integration algorithm for radar maneuvering weak target with acceleration rate, IEEE Trans.on Geoscience and Remote Sensing, 57, 6, pp. 3528-3542, (2019)
  • [6] JIN K, LI G Q, LAI T, Et al., A novel long-time coherent integration algorithm for Doppler-ambiguous radar maneuvering target detection, IEEE Sensors Journal, 20, 16, pp. 9394-9407, (2020)
  • [7] BARTON D K., Radar system analysis and modeling, (2004)
  • [8] REED I S, GAGLIARID R M, SHAO H M., Application of three dimensional filtering to moving target detection, IEEE Trans.on Aerospace and Electronic Systems, 19, 2, pp. 899-905, (1983)
  • [9] REED I S, GAGLIARID R M, STOTTS L B., Optical moving target detection with 3-D matched filtering, IEEE Trans.on Aerospace and Electronic Systems, 24, 4, pp. 327-336, (1988)
  • [10] BLOSETIN S D, HUANG T S., Detecting small moving objects in image sequences using sequential hypothesis testing, IEEE Trans.on Signal Processing, 39, 7, pp. 1611-1629, (1991)
123