{"title":"A modified unambiguous acquisition algorithm for BOC (n, n) signal","authors":"Kun Zheng, Xiaolin Zhang, Yunjing Wang","doi":"10.1109/ICCT.2017.8359650","DOIUrl":null,"url":null,"abstract":"For the unambiguous acquisition problem of Binary Offset Carrier (BOC) modulated signal caused by its multi-peak autocorrelation function (ACF), a modified unambiguous acquisition algorithm for BOC (n, n) signal based on reconstructed correlation function is proposed. The algorithm uses the cross-correlation of BOC signal and pseudo random noise (PRN) code, through the shift, modulus, addition and square operations to implement. Theoretical analysis and simulation results show that the algorithm can completely eliminate side peaks and double the main peak value without changing its width, and it also has lower algorithm complexity, larger peak-to-average power ratio and higher acquisition accuracy than traditional acquisition algorithms.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2017.8359650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For the unambiguous acquisition problem of Binary Offset Carrier (BOC) modulated signal caused by its multi-peak autocorrelation function (ACF), a modified unambiguous acquisition algorithm for BOC (n, n) signal based on reconstructed correlation function is proposed. The algorithm uses the cross-correlation of BOC signal and pseudo random noise (PRN) code, through the shift, modulus, addition and square operations to implement. Theoretical analysis and simulation results show that the algorithm can completely eliminate side peaks and double the main peak value without changing its width, and it also has lower algorithm complexity, larger peak-to-average power ratio and higher acquisition accuracy than traditional acquisition algorithms.