基于高斯平滑滤波的罗兰C周期识别新方法  

The New Method of Loran C Cycle Identification Based on Gaussian Smoothing Filter

作　　者：吴苗[1,2] 李方能[1] 苏晓庆[2] 王国成[2] 

机构地区：[1]海军工程大学导航工程系,湖北武汉430033 [2]中国科学院测量与地球物理研究所,湖北武汉430077

出　　处：《海洋测绘》2013年第6期80-82,共3页Hydrographic Surveying and Charting

基　　金：国家自然科学基金项目(40904018);国家重大科学仪器开发专项(2011YQ12004502)

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。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.

关 键 词：罗兰C 高斯平滑 周期识别 正向过零点 

分 类 号：P225[天文地球—大地测量学与测量工程]