GNSS多径信道模拟的聚类稀疏拟合方案

针对全球导航卫星系统(global navigation satellite system, GNSS)信道模拟计算量大、硬件资源开销大，不利于实时性能评估和实际工程应用的挑战，提出一种GNSS多径信道模拟的聚类稀疏拟合方案。利用基于K中心聚类信道冲击响应(channel impulse response, CIR)参数萃取的稀疏拟合方法，得到等效精简CIR参数，再以稀疏抽头延迟线结构来实现信道模拟。所提方法在保持多径误差条件下，通过较少抽头数量的抽头延迟线结构滤波器拟合原始GNSS多径信道模型，可以大为简化GNSS信道模型仿真复杂度，而无须庞大的硬件资源。仿真结果表明，通过对参考信道模型生成的信道CIR参数进行稀疏拟合，所提出的方案和方法具有良好的效果。

Clustering sparse fitting scheme for GNSS multipath channel simulation

A GNSS multipath channel sparse fitting scheme based on K-medoids clustering was proposed to tackle the problem of a large amount of simulation computation and hardware resource overhead for GNSS channels, which is inconvenient for real-time performance evaluation and practical engineering applications. The equivalent reduced CIR (channel impulse response) parameters were extracted using a sparse fitting method based on K-medoids clustering CIR parameters extraction, and the channel simulation was realized using a sparse tapped-delay-line structure. The proposed method sparsely fits the original GNSS multipath channel model under the constraint of retaining multipath error by employing tapped-delay-line structure filter with fewer taps, which can decrease the complexity of simulation without requiring huge hardware resources. Simulation results show that the proposed scheme is effective by sparse fitting the CIR parameters generated by the reference channel model.