【作者】 赵菊敏； 赵晓芳； 李灯熬； 邓豆豆； 韩冲；

【Author】 Jumin Zhao;Xiaofang Zhao;Dengao Li;Doudou Deng;Chong Han;Taiyuan university of Technology;

【机构】 太原理工大学；

【摘要】 跟踪作为接收机处理卫星信号进而得到定位解算结果的重要环节,其性能的优化对于改进接收机整体效益、提高定位解算速度和精度至关重要。压缩感知算法是近年来发展迅速的信号处理方法,相比于奈奎斯特采样定理的采样速率主要由信号带宽决定,压缩感知算法则是由信息量所决定,这种算法可以大大降低接收机的处理压力。信号重构是压缩感知比较重要的一步,然而重构会使得计算复杂度偏高,并且消耗大量的硬件资源。因此我们提出采用压缩感知辅助的矢量跟踪环路算法,通过压缩感知算法直接提取信号的码相位和载波频率信息,并将鉴别器结果作为卡尔曼滤波器的输入,一方面减小接收机的计算压力,另一方面得到用户的位置信息。更多还原

【Abstract】 The vector tracking algorithm has become a better method to ensure the accuracy of positioning navigation under serious condition, but the drawback of vector tracking algorithm is that its handling load and complexity are high. The sampling rate of the compression sensing algorithm is no longer depend on the signal bandwidth, it is determined by the amount of information contained in the signal, this method can reduce the cost of signal acquisition effectively and alleviate the processing pressure of receiver. Although compressed sensing algorithm can reduce the sampling rate and data rate effectively, but the drawback of the algorithm is high computational complexity so it consumed a large amount of computing resources, therefore, we propose Compressed Sensing-aided vector tracking loop. In this method, the code phase, carrier frequency and carrier phase information can be directly extracted from the received signal, it realizes high-precision carrier, pseudo-code delay tracking and then the output from discriminators used as the input of the navigation Kalman filter, it is not only bring down the data rate, sampling rate and computational complexity effectively, but also the compressed sensing-aided vector tracking algorithm can obtain a higher positioning accuracy compared to traditional vector tracking algorithm.更多还原