基于IFFT频谱相除的罗兰C天地波识别新算法  

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

作　　者：朱银兵[1,2] 许江宁[1] 王红星[2] 曹可劲[1] 胡东亮[1] 

机构地区：[1]海军工程大学导航工程系,武汉430033 [2]海军航空工程学院电子工程系,烟台264001

出　　处：《电子与信息学报》2009年第5期1153-1156,共4页Journal of Electronics & Information Technology

基　　金：海军工程大学基金(HGDJJ07028)资助课题

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50μs时估计误差大。为了准确估计时间间隔小于50μs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。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 ps 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.

关 键 词：天地波识别 罗兰C IFFT频谱相除 

分 类 号：TN961[电子电信—信号与信息处理]