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Volume 31 Issue 5
Dec.  2010
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Zhu Yin-bing, Xu Jiang-ning, Wang Hong-xing, Cao Ke-jing, Hu Dong-liang. A New Loran C Sky-Wave and Ground-Wave Identification Algorithm Based on IFFT Spectral Division[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1153-1156. doi: 10.3724/SP.J.1146.2008.00445
Citation: Zhu Yin-bing, Xu Jiang-ning, Wang Hong-xing, Cao Ke-jing, Hu Dong-liang. A New Loran C Sky-Wave and Ground-Wave Identification Algorithm Based on IFFT Spectral Division[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1153-1156. doi: 10.3724/SP.J.1146.2008.00445

A New Loran C Sky-Wave and Ground-Wave Identification Algorithm Based on IFFT Spectral Division

doi: 10.3724/SP.J.1146.2008.00445
  • Received Date: 2008-04-17
  • Rev Recd Date: 2008-12-08
  • Publish Date: 2009-05-19
  • For present analog Loran C receiver, it is very complicated and takes a long time to complete cycle identification. Moreover, estimate error when arriving time of sky-wave and ground-wave is less than 50 under algorithms presented by some relative documents is intolerant. For estimating the arriving time of sky-wave and ground-wave exactly, a new algorithm for the detection is presented based on IFFT(Inverse Fast Fourier Transform) spectral division. After proving its feasibility, veracity of arriving time for sky-wave and ground-wave is simulated. The results show that using the new algorithm, veracity of arriving time for sky-wave and ground-wave can get up to 99.6% and no less than 98.6% respectively,and signal to noise ratio (SNR) can be improved 6dB relative to the standard of USCG.
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  • Radio Technical Commission for Marine Services, U.S.Federal Communication Commission. Minimum PerformanceStandards (MPS)-Marine Loran-C Receiving Equipment,Report of Special Committee No. 70, December 1977.[2]Mohammed A, Chemnitzer H, and Last D. Full performanceanalysis of IFFT spectral-division technique for skywaveidentification in Loran-C receivers[C]. Proc. 31st AnnualConvention and Technical Symposium, International LoranAssociation(ILA31), Washington, DC, 2002: 1-10.[3]Mohammed A and Last D. Loran-C skywave delay detectionusing ARMA algorithm[J].Electronic Letters.1998, 34(17):1654-1655[4]Mohammed A F and Last J D. Loran-C skywave delaydetection using rational modelling techniques[C]. SixthInternational Conference on Radio Receivers and AssociatedSystems, Bath, 1995: 100-104.[5]Mohammed A and Last D. IFFT technique for skywavedetection in Loran-C receivers[J].Electronic Letters.2001,37(6):398-400[6]张田仓, 罗锐. IFFT 频谱相除技术在罗兰C 接收机中的应用[J]. 导航, 2004(3): 102-107.Zhang Tian-cang and Luo Rui. Usage of spectrum divisiontechnique in Loran-C receiver[J]. Navigation, 2004(3):102-107.[7]张田仓, 唐争. 用于罗兰C 接收机天波识别的IFFT 频谱相技术探讨[J]. 信息与电子工程, 2004, 2(4): 274-278.Zhang Tian-cang and Tang Zheng. IFFT spectral-divisiontechnique for skywave identification receivers[J]. Informationand Electronic Engineering, 2004, 2(4): 274-278.[8]胡东亮, 杨迎春, 范菊红. 基于MUSIC 算法的罗兰C 接收机天地波自动识别方法研究[J]. 海军工程大学学报, 2006, 18(3):7-9.Hu Dong-liang, Yang Ying-chun, and Fan Ju-hong. Loran-Creceiver sky-wave detection based on MUSIC algorithms[J].Journal of Naval University of Engineer, 2006, 18(3): 7-9.[9]杨迎春, 杨新峰. 一种高分辨率的罗兰C 接收机天波延迟估计技术[J]. 计算机仿真,2006, 23(7): 295-298.Yang Ying-chun and Yang Xin-feng. A high resolutiontechnique for Loran-C skywave delay estimation[J].Computer Simulation, 2006, 23(7): 295-298.
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