| 基于高斯平滑滤波的罗兰C周期识别新方法 |
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| 引用本文： | 吴苗,李方能,苏晓庆,王国成.基于高斯平滑滤波的罗兰C周期识别新方法[J].海洋测绘,2013(6):80-82. |
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| 作者姓名： | 吴苗 李方能 苏晓庆 王国成 |
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| 作者单位： | [1]海军工程大学导航工程系,湖北武汉430033;中国科学院测量与地球物理研究所湖北武汉430077 [2]中国科学院测量与地球物理研究所,湖北武汉430077 |
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| 基金项目： | 国家自然科学基金项目（40904018）;国家重大科学仪器开发专项（2011YQ12004502）. |
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| 摘 要： | 在有效估计天波延迟地波时间的基础上,提出了全新的基于高斯平滑滤波的罗兰C周期识别新方法。该方法完全摆脱了固定第三周期识别的思路,在有效防止信号出现周跳和确保接收机接收性能的精确性与稳定性的同时,提高了采样信号的信噪比,降低了信号电平的损失,增加了信息的利用率。
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| 关 键 词： | 罗兰C 高斯平滑 周期识别 正向过零点 |
The New Method of Loran C Cycle Identification Based on Gaussian Smoothing Filter |
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| WU Miao,LI Fangneng,SU Xiaoqing,WANG Guocheng.The New Method of Loran C Cycle Identification Based on Gaussian Smoothing Filter[J].Hydrographic Surveying and Charting,2013(6):80-82. |
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| Authors: | WU Miao LI Fangneng SU Xiaoqing WANG Guocheng |
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| Institution: | 2 ( 1. Department of Navigation, Naval University of Engineering,Wuhan 430033, China; 2. Institute of Geodesy and Geophysics. Chinese Acadamy of Sciences, Wuhan 430077, China) |
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| Abstract: | Based on effectively estimating skywave delay ground wave time, a new method of Loran C cycle identification on the basis of Gaussian smoothing filter is present. The method is free from the idea of the third cycle identification. When preventing signal cycle skipping and insuring precision and stablility of the receiver, the method increases SNR of the sampled signal ,decreases loss of the signal level, and enhances signal availability. |
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| Keywords: | Loran C Gaussian smoothing cycle identification positive zero crossing point |
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