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机载空间激光通信是实现未来超大容量空间通信的主要途径,高精度实时性的机载平台跟踪问题一直是其研究的难点问题之一。因为机载通信平台机动形式的多样性,用单一的模型很难准确描述机载平台的运动状态,因此需要采用多个模型进行描述,即交互多模型方法。粒子滤波能够处理非线性/非高斯问题,其与交互式多模型结合可用来获得更好的跟踪性能。针对粒子滤波算法计算量大、实时性差的问题,给出了粒子滤波算法的并行处理方法。通过计算机仿真,交互多模型粒子滤波算法与其他算法相比,其跟踪性能有较大的提高,忽略通信代价,并行处理的粒子滤波时间开销显著下降。
Airborne space laser communication is the main way to realize the communication of large capacity space in the future. The tracking problem of airborne platform with high precision and real time has been one of the difficult problems in its research. Because of the diversity of mobile forms of airborne communication platforms, it is very difficult to accurately describe the motion state of airborne platforms with a single model. Therefore, multiple models are needed to describe, that is, interactive multi-model methods. Particle filtering can deal with nonlinear / non-Gaussian problems, which, combined with an interactive multi-model, can be used to achieve better tracking performance. Aiming at the problem of large amount of calculation and poor real-time performance of particle filter, a parallel processing method of particle filter is given. Compared with other algorithms, the interaction performance of interactive multi-model particle filter has been greatly improved by computer simulation. Ignoring the communication cost, the particle filter time cost of parallel processing decreases significantly.