A comparison analysis of multipath extract methods in short-baseline applications of GPS  

短基线GPS应用中多径信号提取方法的对比分析(英文)

作　　者：崔冰波[1] 陈熙源[1] 

机构地区：[1]东南大学仪器科学与工程学院,南京210096

出　　处：《Journal of Southeast University(English Edition)》2014年第3期315-317,共3页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No.51375087,50975049);the Ocean Special Funds for Scientific Research on Public Causes(No.201205035-09)

摘　　要：In order to eliminate the multipath errors existing in static short-baseline applications, a novel de-noising method based on a singular spectrum analysis （named as DSSA） is introduced to extract multipath signals. The multipath error is extracted from the double difference （DD） residuals by DSSA and then applied to the correct multipath error in subsequent measurements based on the correlation among adjacent epochs. Methods based on discrete wavelet transform （DWT） and stationary wavelet transform （SWT） are introduced as comparisons of DSSA based on analysis of a simulated signal. Real baseline residuals are tested to verify different extract methods. Results show that compared with the SWT, the DSSA improves the root mean square （RMS） of the residual by 48.6% and achieves a time reduction of 75.3%.为了消除静态GPS短基线应用中的多径误差,引入了一种基于奇异谱分析的去噪方法(称为DSSA)提取多径信号.首先,从双差分残差中提取出多径误差,然后,利用相邻历元间多径误差的相关性对双差分观测数据进行多径误差校正.为了验证DSSA算法的有效性,基于仿真信号对DSSA、离散小波变换(DWT)和平稳小波变换(SWT)的去噪方法进行对比分析.采用真实的GPS基线误差对不同的多径提取方法进行了分析,多径抑制结果表明,DSSA校正后基线误差的均方根(RMS)较SWT改善48.6%,运算时间减少了75.3%.

关 键 词：multipath extraction singular spectrum analysis stationary wavelet transform 

分 类 号：TN967.1[电子电信—信号与信息处理]