A generalized quadrature bandpass sampling in radio receivers

Author

Sun, Yi-Ran ; Signell, Svante

Author_Institution

Lab. of Electron. & Comput. Syst., R. Inst. of Technol., Stockholm, Switzerland

Volume

2

fYear

2005

fDate

18-21 Jan. 2005

Firstpage

1288

Abstract

Bandpass sampling (BPS) realizes frequency down-conversion by undersampling. Noise aliasing as the direct consequence of the lower sampling rate causes a performance degradation. In this paper, a generalized quadrature BPS (GQBPS) combined with a filter which performs both reconstruction and bandpass filtering is studied in the frequency domain with respect to both signal reconstruction and noise aliasing reduction. The theoretical analyses show that GQBPS might be a potential way to reduce noise aliasing at the cost of a more complicated reconstruction algorithm.

Keywords

band-pass filters; frequency-domain analysis; noise; radio receivers; signal reconstruction; signal sampling; GQBPS; bandpass filtering; frequency domain; frequency down-conversion; generalized quadrature BPS; generalized quadrature bandpass sampling; noise aliasing reduction; radio receivers; signal reconstruction; undersampling; Algorithm design and analysis; Band pass filters; Costs; Degradation; Filtering; Frequency domain analysis; Noise reduction; Receivers; Sampling methods; Signal reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific

Print_ISBN

0-7803-8736-8

Type

conf

DOI

10.1109/ASPDAC.2005.1466579

Filename

1466579