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重庆邮电大学通信与信息工程学院,重庆 400065
[ "潘毅(1988- ),男,浙江温州人,重庆邮电大学博士生,主要研究方向为BOC信号捕获和跟踪技术等。" ]
[ "张天骐(1971- ),男,四川眉山人,重庆邮电大学教授、博士生导师,主要研究方向为通信信号的调制解调、盲处理、语音信号处理、神经网络实现及FPGA、VLSI实现。" ]
[ "张刚(1976- ),男,四川巴中人,博士,重庆邮电大学副教授,主要研究方向为微弱信号检测和混沌保密通信。" ]
[ "马宝泽(1990- ),男,河北廊坊人,重庆邮电大学博士生,主要研究方向为盲信号分离和特征提取等。" ]
网络出版日期:2019-06,
纸质出版日期:2019-06-25
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潘毅, 张天骐, 张刚, 等. 高动态BOC信号捕获算法[J]. 通信学报, 2019,40(6):82-89.
Yi PAN, Tianqi ZHANG, Gang ZHANG, et al. Acquisition algorithm for BOC signals in high dynamic environment[J]. Journal on communications, 2019, 40(6): 82-89.
潘毅, 张天骐, 张刚, 等. 高动态BOC信号捕获算法[J]. 通信学报, 2019,40(6):82-89. DOI: 10.11959/j.issn.1000-436x.2019145.
Yi PAN, Tianqi ZHANG, Gang ZHANG, et al. Acquisition algorithm for BOC signals in high dynamic environment[J]. Journal on communications, 2019, 40(6): 82-89. DOI: 10.11959/j.issn.1000-436x.2019145.
针对传统的捕获算法无法实现高动态环境下二进制偏移载波(BOC)信号同步问题,设计了一种分数阶傅里叶变换(FRFT)与离散多项式相位变换(DPT)相结合的捕获算法。该算法首先根据定阶运算得到接收信号的动态阶数来判定是否需要进行降阶处理,然后通过对FRFT捕获算法输出的谱峰值搜索得到动态参数和码相位的估计值来完成捕获。理论分析和仿真结果表明,所提算法在原有FRFT捕获算法的基础上消除了二阶多普勒变化率的影响,能够成功捕获到高动态 BOC 信号。与其他算法相比,所提算法进一步增强了整个捕获结构的动态适应能力和抗噪性能,并且在检测概率和捕获时间方面具有优越的性能。
As the synchronization of binary offset carrier (BOC) signals couldn’t be realized in high dynamic environment by traditional acquisition algorithms
an acquisition algorithm based on fractional Fourier transform (FRFT) and discrete polynomial-phase transform (DPT) was proposed.Firstly
the algorithm determined how to process the received signal according to the dynamic order obtained by the order operation.And then the acquisition was achieved by searching the spectral peak of the FRFT algorithm to obtain the estimation of dynamic parameters and code phase.Theoretical analysis and simulations show that the proposed algorithm eliminates the influence of second-order doppler shift rate based on original FRFT acquisition algorithm
which can successfully capture high dynamic BOC signals.The proposed algorithm further enhances the dynamic adaptability and anti-noise performance and has superior performance in detection probability and acquisition time in comparison with other algorithms.
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