论文部分内容阅读
卫星信号捕获是接收机内基带信号处理的关键步骤,捕获的速度严重影响接收机首次定位的时间。在基于快速傅里叶变换(FFT)的并行码相位捕获方法基础上,将具有亚线性运算量的稀疏傅里叶变换(SFT)引入捕获过程中,提出了基于SFT的快速捕获方法,通过优化捕获过程中相关运算的效率,提高捕获速度。仿真结果表明,与传统的基于FFT的捕获方法相比,基于SFT的快速捕获方法运算效率提高到原来的2倍,更好地满足卫星信号对快速捕获的要求。
Satellite signal acquisition is a key step in baseband signal processing within the receiver, and the speed of acquisition can have a significant impact on the receiver’s first positioning time. Based on the parallel code phase capture method based on Fast Fourier Transform (FFT), a sparse Fourier Transform (SFT) with sublinear computation is introduced into the capture process. A fast SFT-based capture method is proposed. By optimizing Capture the efficiency of the relevant operations in the process, improve the capture speed. The simulation results show that compared with the traditional FFT-based acquisition method, the fast acquisition method based on SFT improves the computational efficiency by two times and better meets the requirement of fast acquisition of satellite signals.