改进的双块补零P码直接捕获算法
发布时间：2018-12-14 02:11
【摘要】：针对低信噪比和高动态环境下的P码直接捕获问题,本文对传统双块补零算法进行改进,提出一种分段旋转双块补零算法.算法通过分段FFT得到各数据段的频谱;通过频谱的循环移位进行频率斜升和初始频偏补偿,再求出频率补偿后的各段数据与本地伪码的相关值并进行非相干累加;对相关峰峰值进行恒虚警检测和抛物插值.仿真结果表明,本文所提算法与传统双块补零算法相比,检测概率和参数估计精度大致相当,捕获时间降低80%,逻辑运算单元和存储单元分别减少64%和99%.同时给出了不同系统要求下的关键参数选取方法,使算法具有较高的实用性.
[Abstract]:In order to solve the problem of direct acquisition of P codes in low SNR and high dynamic environments, this paper improves the traditional double block zero compensation algorithm and proposes a piecewise rotation double block zero compensation algorithm. The frequency spectrum of each data segment is obtained by segmented FFT, the frequency rise and initial frequency offset are compensated by cyclic shift of the frequency spectrum, and the correlation values between the data and the local pseudo-code after frequency compensation are calculated and incoherently accumulated. The correlation peak is detected by CFAR and parabolic interpolation. The simulation results show that the detection probability and parameter estimation accuracy of the proposed algorithm are approximately the same as those of the traditional double block zero compensation algorithm. The acquisition time is reduced by 80% and the logical operation unit and memory unit are reduced by 64% and 99% respectively. At the same time, the method of selecting key parameters under different system requirements is given, which makes the algorithm more practical.
【作者单位】： 北京理工大学信息与电子学院;
【基金】：国家“八六三”计划项目(2015AA015701) 国家自然科学基金资助项目(61301089)
【分类号】：TN96
本文编号：2377715
[Abstract]:In order to solve the problem of direct acquisition of P codes in low SNR and high dynamic environments, this paper improves the traditional double block zero compensation algorithm and proposes a piecewise rotation double block zero compensation algorithm. The frequency spectrum of each data segment is obtained by segmented FFT, the frequency rise and initial frequency offset are compensated by cyclic shift of the frequency spectrum, and the correlation values between the data and the local pseudo-code after frequency compensation are calculated and incoherently accumulated. The correlation peak is detected by CFAR and parabolic interpolation. The simulation results show that the detection probability and parameter estimation accuracy of the proposed algorithm are approximately the same as those of the traditional double block zero compensation algorithm. The acquisition time is reduced by 80% and the logical operation unit and memory unit are reduced by 64% and 99% respectively. At the same time, the method of selecting key parameters under different system requirements is given, which makes the algorithm more practical.
【作者单位】： 北京理工大学信息与电子学院;
【基金】：国家“八六三”计划项目(2015AA015701) 国家自然科学基金资助项目(61301089)
【分类号】：TN96
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