基于IFFT频谱相除的罗兰C天地波识别新算法

朱银兵; 许江宁; 王红星; 曹可劲; 胡东亮

doi:10.3724/SP.J.1146.2008.00445

基于IFFT频谱相除的罗兰C天地波识别新算法

doi: 10.3724/SP.J.1146.2008.00445

朱银兵^{①②;许江宁},
许江宁,
王红星,
曹可劲,
胡东亮

基金项目:

海军工程大学基金(HGDJJ07028)资助课题

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出版历程
- 收稿日期: 2008-04-17
- 修回日期: 2008-12-08
- 刊出日期: 2009-05-19

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

摘要

摘要: 目前模拟接收机的周期识别复杂、识别时间长，而相关文献提出的算法在罗兰C天地波到达时间间隔小于50时估计误差大。为了准确估计时间间隔小于50的天地波到达时刻，在IFFT频谱相除技术基础上提出天地波分别识别的新算法。在证明了方法可行性的基础上，采用该算法仿真分析了天波以及地波自动识别的准确性。结果表明，利用该算法，天地波自动识别的准确率分别可达99.6%和98.6%以上，相对USCG标准可改善信噪比6dB。
- 天地波识别;罗兰C;IFFT频谱相除
Abstract: 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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参考文献(1)

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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