A. Denisov, Y. Kuznetsov, A. Baev, M. Konovalyuk, A. Gorbunova
{"title":"利用循环维纳滤波器抑制WLAN相邻信道干扰","authors":"A. Denisov, Y. Kuznetsov, A. Baev, M. Konovalyuk, A. Gorbunova","doi":"10.1109/dspa53304.2022.9790769","DOIUrl":null,"url":null,"abstract":"The wireless access points of smartphones, tablets, and other devices face collisions and the channel throughput decrease in public places due to the limited numbers of channels. The channel spacing is required to reduce the effects of adjacent channel interference. This paper proposes an effective interfer-ence suppression method based on the cyclic Wiener filter. In the laboratory test setup, different channel spacing is simulated using a set of frequency shifts between the signal of interest and interference. The analytical and experimental comparisons of the stationary Wiener filter and cyclic Wiener filter for WLAN signals models are performed.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"WLAN Adjacent Channel Interference Suppression Using Cyclic Wiener Filter\",\"authors\":\"A. Denisov, Y. Kuznetsov, A. Baev, M. Konovalyuk, A. Gorbunova\",\"doi\":\"10.1109/dspa53304.2022.9790769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wireless access points of smartphones, tablets, and other devices face collisions and the channel throughput decrease in public places due to the limited numbers of channels. The channel spacing is required to reduce the effects of adjacent channel interference. This paper proposes an effective interfer-ence suppression method based on the cyclic Wiener filter. In the laboratory test setup, different channel spacing is simulated using a set of frequency shifts between the signal of interest and interference. The analytical and experimental comparisons of the stationary Wiener filter and cyclic Wiener filter for WLAN signals models are performed.\",\"PeriodicalId\":428492,\"journal\":{\"name\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/dspa53304.2022.9790769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WLAN Adjacent Channel Interference Suppression Using Cyclic Wiener Filter
The wireless access points of smartphones, tablets, and other devices face collisions and the channel throughput decrease in public places due to the limited numbers of channels. The channel spacing is required to reduce the effects of adjacent channel interference. This paper proposes an effective interfer-ence suppression method based on the cyclic Wiener filter. In the laboratory test setup, different channel spacing is simulated using a set of frequency shifts between the signal of interest and interference. The analytical and experimental comparisons of the stationary Wiener filter and cyclic Wiener filter for WLAN signals models are performed.