利用梳状抽取滤波器优化GNSS信号采集算法复杂度

Yong Li, Chu He, Qile Zhao, Jiarui Hu
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引用次数: 0

摘要

GNSS系统是应用最广泛的无线通信系统之一。GNSS接收机必须快速有效地锁定卫星信号。目前已知解决该问题最快的算法是基于快速傅里叶变换(FFT)和反快速傅里叶变换(IFFF)。本文提出了一种在数字集成电路或FPGA上实现GNSS信号采集系统的新架构。以往的研究者倾向于使用FIR滤波器来补偿CIC滤波器。通过仅添加CIC滤波器,所提出的系统旨在通过减小FFT大小来降低整体计算复杂度。通过简化GNSS获取的计算,可以大大提高内存的使用效率。此外,GNSS系统的功耗也将显著降低。
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Optimization of GNSS Signals Acquisition Algorithm Complexity Using Comb Decimation Filter
GNSS system is one of the most widely used wireless systems. A GNSS receiver must lock on satellite signals effectively and quickly. The fastest known algorithm to solve this problem is based on the Fast Fourier Transform(FFT) and the Invert Fast Fourier Transform(IFFF). This paper proposed a novel architecture to implement GNSS signal acquisition system on digital IC or FPGA. Former researchers tended to use FIR filter to compensate for the CIC filter. By adding the CIC filter only, the proposed system aims to reduce the overall calculation complexity by reducing the FFT size. By simplifying the calculation of GNSS acquisition, the memory usage efficiency will be highly improved. Additionally, there will be a significant reduction in GNSS system power consumption.
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