Title :
Effective frequency selection algorithm for bandpass sampling of multiband RF signals based on Relative Frequency Interval
Author :
Wei, Qi ; Jin, Tian ; Yu, Fei
Author_Institution :
Sch. of Electron. Inf. Eng., Beihang Univ., Beijing, China
Abstract :
In design of software receiver, costs of AD converter is greatly decreased and data amount is largely reduced by using bandpass sampling. However, the interval of sampled signal in spectrum is ignored in related researches, especially in multiband RF signals´ sampling by single frequency. To solve the problem, we introduce RFI (Relative Frequency Interval) as one important criterion to evaluate performance of sampling frequency. Based on RFI, we propose and infer an effective selection algorithm to get the optimal sampling frequency. In application of GPS receiver, we implement the proposed algorithm with numerical method to get available sampling frequency, which directly determines data amount and the corresponding RFI value. Then according to actual demand, we can get the optimal sampling frequency.
Keywords :
analogue-digital conversion; radio receivers; signal sampling; AD converter; GPS receiver; bandpass sampling; frequency selection algorithm; multiband RF signal sampling; multiband RF signals; relative frequency interval; sampled signal interval; sampling frequency; software receiver; Barium; Receivers; bandpass sampling; multiband RF signal; relative frequency interval (RFI); sampling frequency;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622721