Aiming at the problem that different Ground-Based Radar (GBR) deployment way influences the detection performance to the near-space hypersonic target, the near-space hypersonic target model and GBR detection model are established. On the basis of target Radar Cross Section (RCS), detection distance and angle with the change of time, the detection probability, tracking coefficient and resource redundancy rate of 3 kinds of radar detection performance evaluation indicators are put forward, GBR forward deployment, relay deployment and reclaiming deployment way affect the detection performance to near-space hypersonic target are simulation analyzed. The results show that the detection effect of forward deployment combines relay deployment is good, forward deployed found the target distance for the first time is far that can provide the longer warning time, the tracking time of reclaiming deployment is short and has high resource redundancy rate. It has certain practical significance and engineering practical and can provide a theoretical basis and technical support to the deployment of GBR for near-space early warning system.
Zhu Zhi-liang, Ye Ning, Liu Jun, et al.. Deployment optimization algorithm for regional MANET containing near space vehicles as a part[J]. Journal of Electronics & Information Technology, 2011, 33(4): 915-920.
Xiao Song, Tan Xian-si, Wang Hong, et al.. Feasible track initiation method for near space hypersonic target[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2014, 42(3): 52-57.
Zeng Kai-chun and Xiang Jin-wu. Uncertainty analysis of flight dynamic characteristics for hypersonic vehicles[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(4): 798-808.
[4]
Zhao Jing, Jiang Bin, Shi Peng, et al.. Adaptive dynamic sliding mode control for near space vehicles under actuator faults[J]. Circuits System and Signal Processing, 2013, 32(5): 2281-2296.
[5]
Huang Wei, Ma Lin, and Wang Zhen-guo. A parametric study on the aerodynamic characteristics of a hypersonic waverider vehicle[J]. Acta Astronautica, 2011, 69(3/4): 135-140.
Li Luo-gang, Jing Wu-xing, and Gao Chang-sheng. Tracking near space vehicle using early-warning satellite[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(1): 105-114.
Wang Lian-dong, Zeng Yong-hu, Gao Lei, et al.. Technology status and development trend for radar detection of hypersonic target in near space[J]. Journal of Signal Processing, 2014, 30(1): 72-85.
[8]
Ling Yang, Jing Liang, and Liu Wei-wei. Graphical deployment strategies in radar sensor networks (RSN) for target detection[J]. EURASIP Journal on Wireless Communications and Networking, 2013, 2013(1): 1-9.
[9]
Gao Shang. Optimal deployment problems of radar network [J]. Research Journal of Applied Sciences Engineering and Technology, 2013, 6(10): 1879-1883.
Li Qi. Research on optimized anti-jamming development model of radar networks based on distributed algorithm[D]. [Master dissertation], Xidian University, 2013.
[11]
熊军. 基于遗传算法的雷达网优化部署研究[D]. [硕士论文], 山西师范大学, 2013.
Xiong Jun. Radar network deployment optimization based on genetic algorithm research[D]. [Master dissertation], Shanxi Normal University, 2013.
Liu Yan-jun, Huang Jin-cai, and Wang Jiang. Optimal deployment of radar network based on NSGA-Ⅱ under active jamming[J]. Command Control & Simulation, 2014, 36(1): 36-40.
Li Hui-feng. Hypersonic Vehicle Guidance and Control Technique[M]. Beijing: China Astronautic Publishing House, 2012: 36-120.
[14]
乐嘉陵. 再入物理[M]. 北京: 国防工业出版社, 2005: 40-98.
Yue Jia-ling. Reentry Physical[M]. Beijing: National Defense Industry Press, 2005: 40-98.
[15]
Marini J W. On the decrease of the radar cross section of the apollo command module due to reentry plasma effects[R]. Washington: National Aeronautics and Space Administration, 1968.
[16]
Huber P. Hypersonic shock-heated flow parameters for velocities to 46,000 feet per second and altitudes to 323,000 feet[R]. Washington: National Aeronautics and Space Administration, 1963.
Li Zhi-huai, Tan Xian-si, Wang Hong, et al.. Detection algorithm for hypersonic targets based on motion parameter estimation[J]. Journal of Astronautics, 2012, 33(3): 346-352.