Youming Li, J. Gao, Yuanfa Ji, Wentao Fu, Songke Zhao, Suqing Yan
{"title":"伪卫星系统中近远效应及抗冲击噪声干扰伪码序列盲估计算法研究","authors":"Youming Li, J. Gao, Yuanfa Ji, Wentao Fu, Songke Zhao, Suqing Yan","doi":"10.1109/ICICSP50920.2020.9232101","DOIUrl":null,"url":null,"abstract":"This article focuses on the problem of near-far effects in pseudo-satellite ground-based navigation enhancement systems. First, the article analyzes the near-far effects from the perspective of signal power and from the perspective of correlation values, and briefly introduces several methods to suppress the near-far effects and their applicability. Then introduced the pseudo-code blind estimation algorithm against impact noise. In this paper, fractional low-order statistics combined with M-estimation enhanced projection approximation subspace tracking pseudocode sequence blind estimation algorithm is used to blindly estimate the pseudo-code sequence and simulate the anti-noise effect. The estimation results show that the impact component is basically eliminated and the estimation effect of the pseudo code sequence is very good, which shows that the algorithm has anti-impact noise characteristics and is suitable for high-performance pseudo code information estimation under the condition of low signal-to-noise ratio.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Near-far Effect and anti-impact noise interference pseudo-code sequence blind estimation algorithm in Pseudo Satellite System\",\"authors\":\"Youming Li, J. Gao, Yuanfa Ji, Wentao Fu, Songke Zhao, Suqing Yan\",\"doi\":\"10.1109/ICICSP50920.2020.9232101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article focuses on the problem of near-far effects in pseudo-satellite ground-based navigation enhancement systems. First, the article analyzes the near-far effects from the perspective of signal power and from the perspective of correlation values, and briefly introduces several methods to suppress the near-far effects and their applicability. Then introduced the pseudo-code blind estimation algorithm against impact noise. In this paper, fractional low-order statistics combined with M-estimation enhanced projection approximation subspace tracking pseudocode sequence blind estimation algorithm is used to blindly estimate the pseudo-code sequence and simulate the anti-noise effect. The estimation results show that the impact component is basically eliminated and the estimation effect of the pseudo code sequence is very good, which shows that the algorithm has anti-impact noise characteristics and is suitable for high-performance pseudo code information estimation under the condition of low signal-to-noise ratio.\",\"PeriodicalId\":117760,\"journal\":{\"name\":\"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSP50920.2020.9232101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP50920.2020.9232101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Near-far Effect and anti-impact noise interference pseudo-code sequence blind estimation algorithm in Pseudo Satellite System
This article focuses on the problem of near-far effects in pseudo-satellite ground-based navigation enhancement systems. First, the article analyzes the near-far effects from the perspective of signal power and from the perspective of correlation values, and briefly introduces several methods to suppress the near-far effects and their applicability. Then introduced the pseudo-code blind estimation algorithm against impact noise. In this paper, fractional low-order statistics combined with M-estimation enhanced projection approximation subspace tracking pseudocode sequence blind estimation algorithm is used to blindly estimate the pseudo-code sequence and simulate the anti-noise effect. The estimation results show that the impact component is basically eliminated and the estimation effect of the pseudo code sequence is very good, which shows that the algorithm has anti-impact noise characteristics and is suitable for high-performance pseudo code information estimation under the condition of low signal-to-noise ratio.