Battlefield Vehicle High Survivability Surge Route Planning Study
WANG Jiemin1， DING Yunpeng2， RUAN Kaizhi2，3， HU Jinfeng4
1. School of Information and Communication Engineering， University of Electronic Science and Technology， Chengdu 611731， Sichuan， China； 2. Shanghai Electro-mechanical Engineering Institute， Shanghai 201109， China；
3. National Key Laboratory of Automatic Target Recognition （ATR）， Shanghai 201109， China；
4. Yibin Park of UESTC， Yibin 644005， Sichuan， China
Abstract：Since airway planning can significantly improve the battlefield survivability of aircraft, this paper investigated 3D route planning. The existing 3D route planning uses a heuristic sparse A-Star (SAS) method. This method uses the radar threat as an inequality constraint in the problem model, which guarantees that the planned route satisfies the radar threat constraint but fails to be the optimal route that minimises the radar threat. To resolve this problem, this paper proposed an improved SAS algorithm, integrating the radar threat into the heuristic function and enhancing the radar threat into the probability of the vehicle being intercepted, ensuring that the planned route is the optimal route that minimises the radar threat and improves the vehicle's survivability of breaking out of defence. Simulation shows that compared with the existing methods,(1) the probability of interception of the proposed routes decreases by about 20%, and (2) the proposed routes are significantly shorter.
