Anti-radiation induced side UAV Modeling and Simulation Research
Anti-radiation angle and the correction to distinguish UAVs ability to build off-target distance model. In the 2.1 model, based on the assumed anti-radar drones flew critical point c (, Y),
mac cosmetics wholesale, this time, bait, called A and radar guidance head of the inclination of the UAV Oa8 =, AO,
tory burch outlet, AO, angular resolution for the UAV, unmanned aerial vehicles at the end speed, movement direction and the horizontal angle for the knife,
ghd planchas, R1 bait for the UAV to the distance scale for the UAV to the radar distance. Pessimistic assumptions guiding the first unmanned aircraft targeting radar, anti-radiation drone with maximum overload A go to Leida Fei, anti-radar UAVs final point of impact is 0 point. If you ignore the impact of UAV flight last paragraph of the acceleration of gravity, can be considered constant, the turning radius of r = V ~ o / A [. 0 the point 0 up playing bait Figure 5 Schematic llll0O0 anti-radiation drone corrective statue against the technology of electronic information disclosure Volume 24 Zhang Xiang Zhi, Liu Xiangwei, Zhang Gui Yong, November 2009 No. 6, anti-radiation induced side UAV Modeling and Simulation 2.2.1 off-target from the model shown in Figure 5, unmanned aerial vehicles at point C (, Y), it can get: f = √ (* a) + y (12) [R: Research by the formula (8) were: (OgxlOy). Society 'M (Ji + cosZ ~ 9) + (Lu + c. S △) M (to + c0s △)' (a) + (p + cosZX9) '(13) which, M = ∞ l ft / co2R1. Point D (, Y1) is the UAV's flight path correction radius of r. Equations can be obtained: fr = √ (a 1) + (Y a Y1) i (number one): Y_ ~ - a Yl'4 solution of equations (14) have to point D (,, Y]) coordinates: a a /!:! a √ (15) / r a √ Therefore, UAV trajectory equation: (-1) + (Y-Y1): r = 0 so, 0 point of impact can be obtained:; from the previous section analysis to know, to enhance the induced side effects, you can take = 0.9, △ = Wu. Second, the critical point C (, Y) can be simulated to determine-4J. Set the initial point C (o, Yo) and radar, bait spacing, each after a specified step △, updated UAV coordinates C (, Y), to meet the critical condition of OA until the mouth = A0,, that is cosA0, = cosOA port = in, get the critical point c (, y). Third, the extreme off-target from the BO can be finalized by the three. The use of search methods, such as binary search method to find the optimal value, the optimal solution can eventually be BO, to be able to arrive at the optimal configuration from the bait. 3 Conclusion of modern warfare radar Anti-radiation emitted electromagnetic waves UAV radar to discover, track and destroy the radar, the radar system has become a deadly weapon threat. Therefore, in order to protect the radar to study the technical means to combat anti-radiation drone becomes extremely important. In this paper, partial use of active anti-radar drones bait lure the principles and methods were studied to establish the anti-radiation induced side angle and off-target UAV distance model, and describes the best bait to determine the distance of the simulation configuration for further study and discussion against anti-radiation weapons technology, tactics has some practical significance. References: BO: l + (16) [] the type (15) into (16) can be Detuo target range: [2] BO = x ~ a + (17) 2.2.2 Analysis of multi-purpose off-target model (13 ), (17), BO and off-target distance, Y, r, Lu, A9, L on. r is the value determined, p, A9's value can be set, while the critical point c (, Y) and work related. Therefore, the main consideration of the impact of off-target from the BO. First, the parameters r,, A9 can be directly determined. Access to UAV-related technical parameters, you can determine the turning radius r = / [3] [4] [5] [6] Ren Gangqiang. Active radar decoy system against anti-radiation weapons Simulation [D]. Xi'an: Northwestern University, 2005. Zhang Leping, Zhuzhen Bo, Yu Zhiqiang. Two power sources such as non-coherent anti-radiation induced side UAV research [J]. Electronic Warfare Technology, 2003,18 (1) :21-23. Zhao Zhi, Hu Shaohua. Radar anti-radiation measures to UAV research [J]. Radar and confrontation, 2004,
abercrombie ireland,25 (4) :60-63. Repair and Lee, CHEN Yong-guang, Lin Chun should be. The operational effectiveness of anti-radiation UAV Modeling and Simulation [J]. Military Operations Research and Systems Engineering, 2003,12 (3) :24-29. Tang Bin, Qin Yuliang, Wang Hongjiang, Xiang Li. A kind of anti-radiation missile induced partial multi-source interference modeling [J]. Systems Engineering and Electronics, 2007,29 (6) :874-877 Shaoguo Pei, Cao Zhiyao, He Jun, Liu Xiangwei, et al. Electronic warfare operational effectiveness analysis [M]. Beijing: PLA Publishing House, 1998.
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