Resource-saving scheduling scheme for centralized target tracking in multiple radar system under automatic blanket jamming

被引:0
|
作者
Zhengjie LI [1 ]
Yujie WEI [2 ]
Junwei XIE [1 ]
Haowei ZHANG [1 ]
Yu TIAN [3 ,4 ]
机构
[1] Air and Missile Defense College, Air Force Engineering University
[2] Air Force Xi'an Flying College
[3] Air and Missile Defense Institute, Air Force Research Institute
[4] School of Economics and Management, Beihang
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This paper investigates the problem of Joint Radar Node Selection and Power Allocation(JRNSPA) in the Multiple Radar System(MRS) in the blanket jamming environment. Each radar node independently tracks moving target and subsequently transmits the raw observation data to the fusion center, which formulates a centralized tracking network structure. In order to establish a practical blanket jamming environment, we suppose that each target carries the self-defense jammer which automatically implements blanket jamming to the radar nodes that exceed the preset interception probability. Subsequently, the Predicted Conditional Cramer-Rao Lower Bound(PC-CRLB) is derived and utilized as the tracking accuracy criterion. Aimed at ensuring both the tracking performance and the Low Probability of Intercept(LPI) performance, the resourcesaving scheduling model is formulated to minimize the transmit power consumption while meeting the requirements of tracking accuracy. Finally, the Modified Zoutendijk Method Of Feasible Directions(MZMFD)-based two-stage solution technique is adopted to solve the formulated non-convex optimization model. Simulation results show the effectiveness of the proposed JRNSPA scheme.
引用
收藏
页码:349 / 362
页数:14
相关论文
共 13 条
  • [1] Resource-saving scheduling scheme for centralized target tracking in multiple radar system under automatic blanket jamming
    Li, Zhengjie
    Wei, Yujie
    Xie, Junwei
    Zhang, Haowei
    Tian, Yu
    [J]. CHINESE JOURNAL OF AERONAUTICS, 2024, 37 (05) : 349 - 362
  • [2] A New Target Tracking Algorithm for Synchronous Radar Network Under Blanket Jamming
    Zhao, Yanli
    Wang, Huabing
    Gao, Xiangdong
    Zhou, Ying
    Zeng, Yonghu
    [J]. ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 1670 - 1675
  • [3] Communication-awareness adaptive resource scheduling strategy for multiple target tracking in a multiple radar system
    Su, Yang
    Cheng, Ziyang
    He, Zishu
    Deng, Minglong
    [J]. IET SIGNAL PROCESSING, 2022, 16 (07) : 750 - 761
  • [4] Power allocation scheme for target tracking in clutter with multiple radar system
    Yan, Junkun
    Liu, Hongwei
    Sao, Zheng
    [J]. SIGNAL PROCESSING, 2018, 144 : 453 - 458
  • [5] Integrated Trajectory Planning and Resource Scheduling for Multiple Target Tracking in Airborne Radar Network
    Dai, Jinhui
    Yan, Junkun
    Pu, Wenqiang
    Wang, Dewu
    Liu, Hongwei
    [J]. IEEE SENSORS JOURNAL, 2024, 24 (09) : 15434 - 15445
  • [6] Collaborative trajectory planning and transmit resource scheduling for multiple target tracking in distributed radar network system with GTAR
    Su, Yang
    Cheng, Ting
    He, Zishu
    [J]. SIGNAL PROCESSING, 2024, 223
  • [7] Collaborative transmit resource scheduling and waveform selection for target tracking in multistatic radar system
    Wang, Yijie
    Shi, Chenguang
    Wang, Fei
    Zhou, Jianjiang
    [J]. IET RADAR SONAR AND NAVIGATION, 2021, 15 (03): : 209 - 225
  • [8] Joint Antenna Scheduling and Power Allocation for Multi-Target Tracking under Range Deception Jamming in Distributed MIMO Radar System
    Li, Zhengjie
    Yang, Yang
    Wang, Ruijun
    Qi, Cheng
    Huang, Jieyu
    [J]. REMOTE SENSING, 2024, 16 (14)
  • [9] A robust power allocation strategy based on benefit–cost ratio for multiple target guidance in the C-MIMO radar system under blanket jamming
    Zhengjie Li
    Junwei Xie
    Haowei Zhang
    Jiaang Ge
    Cheng Qi
    [J]. EURASIP Journal on Advances in Signal Processing, 2022
  • [10] Quality of Service Constrained-Resource Allocation Scheme for Multiple Target Tracking in Radar Sensor Network
    Yan, Junkun
    Dai, Jinhui
    Pu, Wenqiang
    Zhou, Shenghua
    Liu, Hongwei
    Bao, Zheng
    [J]. IEEE SYSTEMS JOURNAL, 2021, 15 (01): : 771 - 779