Multi-beam tracking scheduling strategy for phased array radar based on the cost-effectiveness ratio

被引:0
作者
Liu Y. [1 ]
Sheng W. [1 ]
Shi D. [1 ,2 ]
机构
[1] Air Defense Early Warning Equipment Department, Air Force Early Warning Academy, Wuhan
[2] Unit 95174, The PLA, Wuhan
来源
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2019年 / 46卷 / 06期
关键词
Beam scheduling cost-effectiveness ratio; Beam waveform scheduling; Multi-beam mode; Phased array radar; Sampling interval time; Tracking accuracy;
D O I
10.19665/j.issn1001-2400.2019.06.022
中图分类号
学科分类号
摘要
The phased array radar tracking mode occupies most of its resources. In order to solve the problem of contradiction between improving target tracking accuracy and capacity, a beam waveform scheduling strategy considering both the tracking accuracy and radar time resources was proposed. First, the target tracking model is given. Furthermore, the beam scheduling cost-effectiveness ratio and scheduling function are defined. Under the constraints of detection probability and tracking accuracy, the scheduling function values of all current targets are predicted, and schedule target sequence is selected according to the scheduling function values under the constraint of the tracking resource and multi-beam tracking method. Finally, compared with methods of conventional beam waveform scheduling and single-beam scheduling, simulation verifies the effectiveness and superiority of the scheduling function and the multi-beam tracking method under the condition that the number of tracking targets is constant. The scheduling strategy effectively improves the average tracking accuracy and the average sampling interval time of the target, and reduces the loss rate. © 2019, The Editorial Board of Journal of Xidian University. All right reserved.
引用
收藏
页码:155 / 162and170
相关论文
共 19 条
[1]  
Kalandros M., Pao L.Y., Covariance Control for Multi-sensor Systems, IEEE Transactions on Aerospace and Electronic Systems, 38, 4, pp. 1138-1157, (2002)
[2]  
Lu J., Hu W., Yu W., Phased Array Radar Resource Management Algorithm Based on Covariance Control, Acta Electronic Sinica, 35, 3, pp. 402-408, (2007)
[3]  
Zhang Z., Xu J., Tian Y., Adaptive Power Allocation Algorithm for Multi-target Tracking, Journal of Signal Processing, 33, pp. 22-26, (2017)
[4]  
Zhang Z.K., Zhou J.J., Wang F., Et al., Multiple-target Tracking with Adaptive Sampling Intervals for Phased Array Radar, Journal of Systems Engineering and Electronics, 22, 5, pp. 760-766, (2011)
[5]  
Zhang H.W., Xie J.W., Shi J.P., Et al., Joint Beam and Waveform Selection for the MIMO Radar Target Tracking, Signal Processing, 156, pp. 31-40, (2019)
[6]  
Lu J., Xiao H., Xi Z., Et al., Joint Adaptive Beam Waveform Scheduling Algorithm for Phased Array Radar, Systems Engineering and Electronics, 33, 1, pp. 84-88, (2011)
[7]  
Cheng T., Li S.Y., Zhang J., Adaptive Resource Management in Multiple Targets Tracking for Co-located Multiple Input Multiple Output Radar, IET Radar, Sonar and Navigation, 12, 9, pp. 1038-1045, (2018)
[8]  
Zhang Z., Wang F., Zhou J., Et al., Adaptive Time Resource Scheduling in Multi-objective Tracking, Acta Aeronautica et Astronautica Sinica, 32, 3, pp. 522-530, (2011)
[9]  
Yu C., Li F., Tan X., Et al., Multi-target Tracking Beam Scheduling Strategy Based on TAS Mode, Systems Engineering and Electronics, 39, 7, pp. 1445-1450, (2017)
[10]  
Qin T., Dai F., Liu H., Et al., Time Resource Joint Allocation Algorithm for Single Beam Phased Array Radar, Journal of Xidian University, 43, 5, pp. 1-6, (2016)