{"title":"一种基于fft的低复杂度超宽带信道估计算法","authors":"Zhixing Wang, Xinghua Ren, Z. Tan","doi":"10.1145/3268866.3268875","DOIUrl":null,"url":null,"abstract":"This paper describes a general windowing method to improve the channel estimation of ultra-wideband communication systems, then proposes a new low-complexity channel estimation algorithm which can effectively resist the inter-symbol interference. The algorithm can resist the inter-symbol interference caused by the channel impulse response. The algorithm only requires a 32-point FFT module. It is verified that the algorithm can effectively reduce the interference caused by multi-path channel and noise.","PeriodicalId":285628,"journal":{"name":"Proceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Low Complexity FFT-based Algorithm for Channel Estimation of Ultra-Wideband Communication Systems\",\"authors\":\"Zhixing Wang, Xinghua Ren, Z. Tan\",\"doi\":\"10.1145/3268866.3268875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a general windowing method to improve the channel estimation of ultra-wideband communication systems, then proposes a new low-complexity channel estimation algorithm which can effectively resist the inter-symbol interference. The algorithm can resist the inter-symbol interference caused by the channel impulse response. The algorithm only requires a 32-point FFT module. It is verified that the algorithm can effectively reduce the interference caused by multi-path channel and noise.\",\"PeriodicalId\":285628,\"journal\":{\"name\":\"Proceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3268866.3268875\",\"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 2018 International Conference on Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3268866.3268875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Low Complexity FFT-based Algorithm for Channel Estimation of Ultra-Wideband Communication Systems
This paper describes a general windowing method to improve the channel estimation of ultra-wideband communication systems, then proposes a new low-complexity channel estimation algorithm which can effectively resist the inter-symbol interference. The algorithm can resist the inter-symbol interference caused by the channel impulse response. The algorithm only requires a 32-point FFT module. It is verified that the algorithm can effectively reduce the interference caused by multi-path channel and noise.