首页> 外文会议>2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems >Analysis and optimization of PMF-FFT acquisition algorithm for high-dynamic GPS signal
【24h】

Analysis and optimization of PMF-FFT acquisition algorithm for high-dynamic GPS signal

机译:高动态GPS信号PMF-FFT采集算法的分析与优化

获取原文

摘要

(Partial Matching Filter)PMF-(Fast Fourier Transformation)FFT algorithm has advantages in acquisition speed and hardware complexity. However in Doppler frequency acquisition there is a contradiction between acquisition accuracy and hardware complexity. In addition the range of frequency acquisition is limited. What's worse in this limited and small range, the peak of output seriously decline with the increasing of Doppler frequency. To solve problems above, first of all this paper analyzed the source of defects, accordingly FFT was replaced by (Discrete Fourier Transformation) DFT to eliminate the contradiction between acquisition accuracy and hardware complexity. Then this paper used the known Doppler frequency got before losing track to switch the acquisition target from Doppler frequency itself to its variation during a shot time through which way the negative effects from limited acquisition range is avoided. Last this paper used a digital divider to dynamically eliminate the factor for attenuation of output peak. Theoretical analysis and simulation result showed that while keep the advantages of PMF-FFT algorithm the optimized algorithm had effectively overcame the defects sothat it will serve well in the design of receiver for high-dynamic GPS signal.
机译:(部分匹配滤波器)PMF-(快速傅立叶变换)FFT算法在采集速度和硬件复杂度方面具有优势。但是,在多普勒频率采集中,采集精度和硬件复杂性之间存在矛盾。另外,频率采集的范围是有限的。在此有限的小范围内更糟的是,输出峰值会随着多普勒频率的增加而严重下降。为了解决上述问题,本文首先分析了缺陷的根源,因此用(离散傅里叶变换)DFT代替了FFT,以消除采集精度和硬件复杂度之间的矛盾。然后,本文使用在丢失轨迹之前获得的已知多普勒频率将捕获目标从多普勒频率本身切换到其在发射时间内的变化,从而避免了有限的捕获范围带来的负面影响。最后,本文使用数字分频器动态消除了输出峰值衰减的因素。理论分析和仿真结果表明,该优化算法在保持PMF-FFT算法优势的同时,有效地克服了这些缺陷,可以很好地应用于高动态GPS信号接收机的设计中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号