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A Fast Algorithm for Calculating Correlation in FFT Based GPS Receiver with Carrier Frequency Deviation

机译:基于FFT的具有载波频率偏差的GPS接收机的快速相关性计算算法。

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摘要

Recently, the Global Positioning System (GPS) has been widely used. However, It requires a huge of number of computations for calculating the correlation between PRN codes of the receiving signal and the stored signal in the receiver. Different satellites have the different orthogonal codes. FFT and IFFT are effectively applied to signal processing in GPS in order to save computations. However, a large number of computations are still required. Furthermore, the carrier frequency is slightly changed by the Doppler effect. This deviation should be compensated for. In this paper, a fast algorithm for saving computations required in the FFT and IFFT processing. The carrier frequency deviation is compensated for after FFT by shifting the frequency components. Only a single FFT is required, and the computation is reduced to 10 percent of the conventional. The candidates for the frequency compensation are estimated in the frequency domain based on the Parseval theory. The number of IFFT can be reduced to 5/17 of the original. Totally, computation can be saved, that is 40 persent of the conventional. The proposed method will be useful in a soft-processing based GPS in the near future.
机译:最近,全球定位系统(GPS)已被广泛使用。然而,为了计算接收信号的PRN码与接收器中的存储信号之间的相关性,需要大量的计算。不同的卫星具有不同的正交码。 FFT和IFFT有效地应用于GPS中的信号处理,以节省计算量。但是,仍然需要大量的计算。此外,多普勒效应会稍微改变载波频率。该偏差应得到补偿。本文提出了一种快速算法,用于保存FFT和IFFT处理中所需的计算。 FFT后,通过移动频率分量来补偿载波频率偏差。只需要一个FFT,计算量就减少到常规的10%。基于Parseval理论,在频域中估计频率补偿的候选对象。 IFFT的数量可以减少到原来的5/17。总共可以节省计算量,即传统方法的40%。所提出的方法将在不久的将来在基于GPS的软处理中有用。

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