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基于PCO+FFT的B1C导航信号捕获算法
引用本文:王晓君,张子奇,李 影. 基于PCO+FFT的B1C导航信号捕获算法[J]. 河北科技大学学报, 2020, 41(6): 486-492. DOI: 10.7535/hbkd.2020yx06002
作者姓名:王晓君  张子奇  李 影
作者单位:河北科技大学信息科学与工程学院,河北石家庄 050018,河北科技大学信息科学与工程学院,河北石家庄 050018,石家庄邮电职业技术学院,河北石家庄 050018
基金项目:国防科技重点实验室项目(6142205190401)
摘    要:为了对采用BOC调制的B1C导航信号进行捕获,提出了基于PCO+FFT的导航信号捕获算法。首先,在深入分析B1C信号特点的基础上,对分段长度和FFT点数进行选择;其次,从相干积分增益、非相关积分增益、多普勒测频范围与测频分辨率、检测概率等几个方面对该算法进行了深入地推导;再次,给出基于新算法的FPGA实现方案;最后,通过仿真验证算法的有效性。在FPGA硬件平台上进行实测的结果显示了方案的正确性。将副载波剥离的方式以及基于状态机的控制核心的实现思路可为导航信号捕获算法的改进提供参考。

关 键 词:无线通信技术  B1C信号  PCO  FFT  捕获  性能分析  算法实现
收稿时间:2020-09-01
修稿时间:2020-10-15

B1C navigation signal acquisition algorithm based on PCO+FFT
WANG Xiaojun,ZHANG Ziqi,LI Ying. B1C navigation signal acquisition algorithm based on PCO+FFT[J]. Journal of Hebei University of Science and Technology, 2020, 41(6): 486-492. DOI: 10.7535/hbkd.2020yx06002
Authors:WANG Xiaojun  ZHANG Ziqi  LI Ying
Abstract:In order to capture the B1C navigation signal with BOC modulation, a specific acquisition scheme of PCO+FFT was proposed. Firstly, based on in-depth analysis of the characteristics of B1C signal, the segment length and FFT points were selected. Secondly, the algorithm was derived from coherent integral gain, uncorrelated integral gain, Doppler frequency measurement range and resolution, and detection probability. Thirdly, the FPGA implementation scheme based on the algorithm was given. Finally, the simulation performance of the algorithm was given to illustrate the effectiveness of the algorithm. The correctness of the implementation scheme is verified by the actual measurement on the FPGA hardware platform. The method of sub carrier separation and the realization of control core based on state machine have certain reference value for the improvement of navigation signal acquisition algorithm.
Keywords:wireless communication technology   B1C signal   PCO   FFT   acquisition   performance analysis   algorithm implementation
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