{"title":"Detection methods of WCDMA signal based on the second-order moment","authors":"Pu Junjie, Shang Junna, Shen Lei","doi":"10.1109/ICCT.2008.4716291","DOIUrl":null,"url":null,"abstract":"Due to its low power spectral density, the WCDMA signal always floods in the background noise, bringing difficulties to the signalpsilas reconnaissance. The detection method based on the second-order moment of WCDMA signal and its modified method are proposed. Experimental results show that the detection performance of these two methods is better than that of the double frequency method and spectrum-reprocessing method. When the false alarm probability is 1%, the detection probability of presented methods reaches above 90% at SNR -19 dB. The proposed methods donpsilat involve extensive matrix operations, their computation complexities are low, and they are easy to implement.","PeriodicalId":259577,"journal":{"name":"2008 11th IEEE International Conference on Communication Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th IEEE International Conference on Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2008.4716291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Due to its low power spectral density, the WCDMA signal always floods in the background noise, bringing difficulties to the signalpsilas reconnaissance. The detection method based on the second-order moment of WCDMA signal and its modified method are proposed. Experimental results show that the detection performance of these two methods is better than that of the double frequency method and spectrum-reprocessing method. When the false alarm probability is 1%, the detection probability of presented methods reaches above 90% at SNR -19 dB. The proposed methods donpsilat involve extensive matrix operations, their computation complexities are low, and they are easy to implement.