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Improved IMMPF Tracking Methods for Airborne Laser Communication

机译:机载激光通信的改进IMMPF跟踪方法

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Tracking system offers the prerequisite and guarantee for airborne laser communication, it is vital for tracking methods to determine the tracking accuracy. Because of diversity of maneuvering forms and high nonlinear problem, it is impossible to accurately describe the movement of airborne platform with the simple model and the traditional filtering method, it is necessary to adopt Interacting Multiple Model (IMM) methods for tracking system. The Particle Filter (PF) can deal with nonlinearon-Gaussian problems, it can be introduced into IMM framework. However, the realization of PF have a larger amount of computation, in order to solve computational complexity, the parallel structure of data processing is proposed. Through theoretical analysis and computer simulation, improved PF effectively reduces the workload; the performance of improved IMMPF is much superior to other methods.
机译:跟踪系统为机载激光通信提供了前提和保证,对于跟踪方法确定跟踪精度至关重要。由于机动形式的多样性和高非线性问题,利用简单的模型和传统的滤波方法无法准确地描述机载平台的运动,跟踪系统必须采用交互多模型(IMM)方法。粒子滤波器(PF)可以处理非线性/非高斯问题,可以引入到IMM框架中。然而,PF的实现需要大量的计算,为了解决计算的复杂性,提出了数据处理的并行结构。通过理论分析和计算机仿真,改进的PF有效地减少了工作量;改进的IMMPF的性能远远优于其他方法。

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