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针对BOC信号的低复杂度无模糊跟踪技术 被引量:1

Low-complexity unambiguous tracking technique for BOC signal
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摘要 针对正弦相位二进制偏移载波(BOC)信号的伪码同步问题,提出了一种低复杂度的无模糊跟踪方法.该方法通过设计特殊的本地参考辅助信号,将其与接收到的BOC信号相关,得到的互相关函数与BOC信号的自相关函数相结合,从而构建出一种新的非相干码鉴别器函数.该鉴别器函数只有一个锁定点,可以实现稳定的无模糊跟踪.区别于传统的超前减滞后无模糊方法,该方法只需要即时支路相关器的输出,可以减少至少3/4的相关器,显著降低接收设备的复杂度.理论分析和仿真结果表明:本方法的跟踪精度介于类二进制相移键控(BPSK-LIKE)方法和峰跳(BJ)方法之间,同时也表现出较好的跟踪稳健性. To solve the pseudo-code synchronization ambiguous problem of sinusoidal phase binary offset carrier(BOC) signal,a low-complexity unambiguous tracking method was proposed.By correlating the designed special local reference auxiliary signal with the received BOC signal,a cross-correlation correlation function was obtained,and then a new non-coherent code discriminator function was constructed by combining the obtained cross-correlation function with the auto-correlation function of the BOC signal.The discriminator function had only one lock point,which could make the tracking stable and unambiguous.Different from the traditional early-minus-late unambiguous methods,the proposed method only needed the prompt branch correlator outputs,and at least 3/4 correlators could be reduced.As a result,the receive devices ’ complexity could be significantly reduced.Theoretical analysis and simulation results show that the tracking accuracy of the proposed method is between that of the like binary phase shift keying(BPSK-LIKE) method and bump-jumping(BJ) method,and it also shows better tracking robustness.
作者 夏轩 王淑君 魏蛟龙 李天 XIA Xuan;WANG Shujun;WEI Jiaolong;LI Tian(School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan 430074,China;Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2019年第11期1-5,共5页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(61401171) 电子信息控制重点实验室基金资助项目(JS17081406836)
关键词 卫星导航 二进制偏移载波(BOC)信号 无模糊 跟踪 低复杂度 satellite navigation binary offset carrier(BOC) signal unambiguous tracking low-complexity
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