{"title":"基于Shapiro wilk测试的频谱感知算法","authors":"F. Ilgin","doi":"10.12739/nwsa.2022.17.1.1a0477","DOIUrl":null,"url":null,"abstract":"In this study, spectrum algorithm based on Shapiro Wilk test is discussed and a spectrum detection method is proposed for Cognitive Radios with Shapiro Wilk test. In this method, it is tested whether the energy of the received signal has a Gauss distribution. Simulation studies were carried out with different parameters to evaluate the performance of the proposed detection method. It has been compared with the Energy detector in simulation studies. Under some conditions, the proposed method was found to be more successful than ED.","PeriodicalId":418729,"journal":{"name":"NWSA Academic Journals","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SPECTRUM SENSING ALGORITHM BASED ON SHAPIRO WILK TEST\",\"authors\":\"F. Ilgin\",\"doi\":\"10.12739/nwsa.2022.17.1.1a0477\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, spectrum algorithm based on Shapiro Wilk test is discussed and a spectrum detection method is proposed for Cognitive Radios with Shapiro Wilk test. In this method, it is tested whether the energy of the received signal has a Gauss distribution. Simulation studies were carried out with different parameters to evaluate the performance of the proposed detection method. It has been compared with the Energy detector in simulation studies. Under some conditions, the proposed method was found to be more successful than ED.\",\"PeriodicalId\":418729,\"journal\":{\"name\":\"NWSA Academic Journals\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NWSA Academic Journals\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12739/nwsa.2022.17.1.1a0477\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NWSA Academic Journals","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12739/nwsa.2022.17.1.1a0477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SPECTRUM SENSING ALGORITHM BASED ON SHAPIRO WILK TEST
In this study, spectrum algorithm based on Shapiro Wilk test is discussed and a spectrum detection method is proposed for Cognitive Radios with Shapiro Wilk test. In this method, it is tested whether the energy of the received signal has a Gauss distribution. Simulation studies were carried out with different parameters to evaluate the performance of the proposed detection method. It has been compared with the Energy detector in simulation studies. Under some conditions, the proposed method was found to be more successful than ED.