多机雷达协同区域动态覆盖航迹优化方法

Flight Path Optimization Method for Dynamic Area Coverage Based on Multi-aircraft Radars

传统面向区域覆盖的多机航迹优化方法大多针对静态环境建立优化模型,在复杂动态环境下面临着模型失配的挑战。因此,该文提出了一种多机雷达协同区域动态覆盖航迹优化方法。首先,该方法引入衰减因子来表征机载雷达对动态环境的实际覆盖效果,将动态覆盖背景下的区域覆盖率作为优化函数,并结合待优化多维航迹控制参数约束,构建了多机雷达协同区域动态覆盖航迹优化的数学模型。然后,采用随机优化法对协同区域动态覆盖航迹优化问题进行了求解。最后,仿真实验表明,相对于采用预设航迹的多机雷达搜索模式,所提航迹优化方法能够显著提高动态区域的动态覆盖性能,且相较于面向静态环境的传统航迹优化模型,动态覆盖性能平均提升约6%。

Most traditional multi-aircraft flight path optimization methods are oriented toward area coverage,use static optimization models,and face the challenge of model mismatch under complex dynamic environments.Therefore,this study proposes a flight path optimization method for dynamic area coverage based on multi-aircraft radars.First,we introduce an attenuation factor to this method to characterize the actual coverage effect of airborne radar on a dynamic environment,and we take the area coverage rate under the dynamic area coverage background as the optimization function.After integrating the constraints of multidimensional flight path control parameters to be optimized,we built a mathematical model for dynamic area coverage flight path optimization based on multi-aircraft radars.Then,the stochastic optimization method is used to solve the flight path optimization problem of dynamic area coverage.Finally,the simulation results show that the proposed flight path optimization method can significantly improve the dynamic coverage performance in dynamic areas compared with the search mode using preset flight paths based on multi-aircraft radars.Compared with the traditional flight path optimization method oriented to static environments,the dynamic coverage performance of our proposed method is improved by approximately 6%on average.