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基于FFT的微弱GPS信號頻率精細估計

張洪倫,  巴曉輝,  陳杰,  周航

張洪倫, 巴曉輝, 陳杰, 周航. 基于FFT的微弱GPS信號頻率精細估計[J]. 電子與信息學報, 2015, 37(9): 2132-2137. doi: 10.11999/JEIT150204
引用本文: 張洪倫, 巴曉輝, 陳杰, 周航. 基于FFT的微弱GPS信號頻率精細估計[J]. 電子與信息學報, 2015, 37(9): 2132-2137. doi: 10.11999/JEIT150204
Zhang Hong-lun, Ba Xiao-hui, Chen Jie, Zhou Hang. FFT-based Fine Frequency Estimation for Weak GPS Signal[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2132-2137. doi: 10.11999/JEIT150204
Citation: Zhang Hong-lun, Ba Xiao-hui, Chen Jie, Zhou Hang. FFT-based Fine Frequency Estimation for Weak GPS Signal[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2132-2137. doi: 10.11999/JEIT150204

基于FFT的微弱GPS信號頻率精細估計

doi: 10.11999/JEIT150204
基金項目: 

國家自然科學基金(61221004)

FFT-based Fine Frequency Estimation for Weak GPS Signal

  • 摘要: 為了解決傳統(tǒng)GPS接收機對弱信號頻率牽引速度比較慢、成功率較低的問題，該文提出基于FFT的頻率估計方法。為了克服導航數(shù)據(jù)比特反轉帶來的影響，用平方法和差分法分別構造的新變量作為FFT運算的輸入。實驗結果顯示，沒有比特邊沿先驗信息的情況下，差分構造變量的方法在21 dBHz弱信號時正確估計頻率概率在95%以上，有比特邊沿先驗信息的情況下，平方構造變量的方法在19 dBHz弱信號下正確檢測頻率概率仍能達到95%。
    Abstract: The frequency pull-in process of traditional GPS receiver is time-consuming and its success rate is low under weak GPS signal environments. In order to solve this problem, FFT-based fine frequency estimation methods are presented. To overcome data bit phase transition, new input variables of FFT are constructed by using the squaring or differential algorithm. The experimental results show that the frequency detection probability is above 95% using differential algorithm when C/N0=21 dBHz if prior information of the navigation data is unknown. The frequency detection probability is above 95% using squaring algorithm when C/N0=19 dBHz if prior information of the navigation data is known.
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出版歷程
  • 收稿日期:  2015-02-03
  • 修回日期:  2015-05-11
  • 刊出日期:  2015-09-19

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