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基于空间移动平台的空间激光通信是实现未来超大容量空间通信的主要途径,而高精度空间平台动态跟踪问题一直是其研究的难点之一。空间移动平台跟踪是一个纯角度的非线性跟踪,用单一的模型很难准确描述空间移动平台的运动状态,需要采用多个模型描述机载平台的运动状态,但交互多模型估计(IMM)需用先验知识和复杂计算量,研究将模型转移概率与模糊推理相结合解决测量空间的不确定性和复杂计算量。标准粒子滤波(PF)能够处理非线性问题,但会引起粒子滤波器粒子退化和发散,采用无迹粒子滤波(UPF)克服了标准粒子滤波没有考虑最新量测信息的问题。仿真结果表明模糊交互多模型粒子滤波算法能较大地提高跟踪性能。
Spatial laser communication based on spatial mobile platform is the main way to realize the future large-capacity space communication. However, the dynamic tracking of high-precision space platform has been one of the difficulties of its research. Space mobile platform tracking is a purely angle non-linear tracking. It is difficult to accurately describe the motion state of the space mobile platform by using a single model. Multiple models are needed to describe the motion state of the airborne platform. However, IMM Using prior knowledge and complex computation, the model is combined with fuzzy inference to solve the uncertainty and complexity of measurement space. Standard Particle Filter (PF) can deal with the nonlinear problem, but it can cause particle filter particle to degenerate and diverge. The use of unscented particle filter (UPF) overcomes the problem that standard particle filter does not consider the latest measurement information. The simulation results show that the fuzzy interaction multi-model particle filter algorithm can greatly improve the tracking performance.