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全变分MW组合去噪的BDS周跳探测算法 被引量:2

Detection algorithm of BDS cycle slips based on total variational MW combination denoising
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摘要 针对高精度全球卫星导航系统(GNSS)数据预处理中,最常用的非差周跳探测方法之一墨尔本-维贝纳(MW)组合受伪距噪声影响等原因存在小周跳探测不准和周跳探测失败后阈值扩散的问题,提出一种北斗卫星导航系统(BDS)周跳探测算法:为降低伪距噪声的影响,提高探测成功率,引入全变分去噪算法对MW组合探测值进行去噪处理;再利用去噪后的MW组合探测值的历元差值进行周跳探测;然后分析全变分去噪算法正则化参数和周跳探测阈值的选取,当正则化参数取5和阈值设定为0.45时,即可探测出大于或等于1个周期的周跳。实验结果表明,选取的正则化参数和周跳探测阈值较为合理,能够在去噪后的MW组合探测值中通过相邻历元作差方式探测出小周跳,成功率为100%,无错探和漏探发生,能够弥补MW组合探测值对不敏感周跳探测的不足。 Aiming at the problem that during the data preprocessing for high-precision global navigation satellite system(GNSS),it is liable to inaccurate small cycle slip detection and threshold diffusion after cycle slip detection failure for Melbourne-Wübbena(MW)linear combination,one of the most commonly used methods in non-differential cycle slip detection,due to the influence of pseudo range noise,the paper proposed a detection algorithm of BeiDou navigation satellite system(BDS)cycle slips:in order to reduce the influence of pseudo range noise and improve the detection success rate,the total variation denoising algorithm was introduced to denoise the MW combined observation;and the cycle slip detection was carried out by using the difference between adjacent epochs of MW combined observation after denoising;then the selection of regularization parameter value and cycle slip detection threshold of total variational denoising algorithm were analyzed,knowing that when the regularization parameter is 5 and the threshold is set to 0.45,cycle slips greater than 1 cycle(including)can be detected.Experimental result showed that the regularization parameters and cycle slip detection threshold selected could be reasonable,and small cycle slips would be detected through the difference between adjacent epochs in the denoised MW combined observations with a success rate of 100%and no wrong detection and missed detection,which could make up for the deficiency of insensitive cycle slip detection in the MW combined observations.
作者 景鑫 李建文 李林阳 周舒涵 JING Xin;LI Jianwen;LI Linyang;ZHOU Shuhan(Information Engineering University,Zhengzhou 450001,China;Xi’an Division of Surveying and Mapping,Xi’an 710054,China)
出处 《导航定位学报》 CSCD 2023年第2期176-185,共10页 Journal of Navigation and Positioning
基金 国家自然科学基金项目(42104033)。
关键词 北斗卫星导航系统(BDS) 墨尔本-维贝纳(MW)组合 全变分去噪 周跳探测 双频数据 BeiDou navigation satellite system(BDS) Melbourne-Wübbena(MW)linear combination total variational denoising cycle slip detection dual frequency data
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