卫星信号窄带抗干扰算法研究

Proceedings of the 2019 4th International Conference on Robotics, Control and Automation Pub Date : 2019-07-26 DOI:10.1145/3351180.3351218

Zhang Qi, Li Chuanjun, Hu Fei

{"title":"卫星信号窄带抗干扰算法研究","authors":"Zhang Qi, Li Chuanjun, Hu Fei","doi":"10.1145/3351180.3351218","DOIUrl":null,"url":null,"abstract":"The narrow-band anti-jamming technology of satellite signals is mainly studied, and a piecewise adaptive threshold algorithm is proposed in this paper. The general steps of the adaptive threshold algorithm are given and analyzed. The traditional algorithm is improved, the spectral segmentation is proposed, and the second threshold is obtained. This algorithm is suitable for narrow-band anti-interference and can effectively suppress narrow-band interference signals. A comparative simulation was performed on MATLAB.","PeriodicalId":375806,"journal":{"name":"Proceedings of the 2019 4th International Conference on Robotics, Control and Automation","volume":"22 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Narrow-band Anti-jamming Algorithm for Satellite Signals\",\"authors\":\"Zhang Qi, Li Chuanjun, Hu Fei\",\"doi\":\"10.1145/3351180.3351218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The narrow-band anti-jamming technology of satellite signals is mainly studied, and a piecewise adaptive threshold algorithm is proposed in this paper. The general steps of the adaptive threshold algorithm are given and analyzed. The traditional algorithm is improved, the spectral segmentation is proposed, and the second threshold is obtained. This algorithm is suitable for narrow-band anti-interference and can effectively suppress narrow-band interference signals. A comparative simulation was performed on MATLAB.\",\"PeriodicalId\":375806,\"journal\":{\"name\":\"Proceedings of the 2019 4th International Conference on Robotics, Control and Automation\",\"volume\":\"22 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 4th International Conference on Robotics, Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3351180.3351218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 4th International Conference on Robotics, Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3351180.3351218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文主要研究了卫星信号窄带抗干扰技术，提出了一种分段自适应阈值算法。给出并分析了自适应阈值算法的一般步骤。对传统算法进行改进，提出了光谱分割方法，得到了第二阈值。该算法适用于窄带抗干扰，能有效抑制窄带干扰信号。在MATLAB上进行了对比仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on Narrow-band Anti-jamming Algorithm for Satellite Signals

The narrow-band anti-jamming technology of satellite signals is mainly studied, and a piecewise adaptive threshold algorithm is proposed in this paper. The general steps of the adaptive threshold algorithm are given and analyzed. The traditional algorithm is improved, the spectral segmentation is proposed, and the second threshold is obtained. This algorithm is suitable for narrow-band anti-interference and can effectively suppress narrow-band interference signals. A comparative simulation was performed on MATLAB.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2019 4th International Conference on Robotics, Control and Automation

自引率

0.00%

发文量