Title :
Efficient Sample Rate Conversion for Multi-Standard Software Defined Radios
Author :
Sheikh, Farhana ; Masud, S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Lahore Univ. of Manage. Sci., Pakistan
Abstract :
This paper presents a modified structure based on cascaded integrator comb (CIC) filters and polynomial interpolation to perform arbitrary sample rate alterations. Incorporating CIC compensation filter within the polynomial interpolator has obviated programmable filter typically used in the process. It has also been shown that a maximum passband ripple of 0.5 dB is attainable with comparatively fewer computations. The ensuing design leads to an efficient realization both in terms of computational complexity and hardware utilization. This architecture is especially useful in the digital IF stage of emerging multi-standard wireless transceivers where fractional sample rate conversion with large relatively prime factors is required. Proposed solution has been tested by implementing it in a software radio simulation model supporting three commercial wireless communication standards, namely GSM, IS-95 and UMTS.
Keywords :
3G mobile communication; cellular radio; comb filters; computational complexity; interpolation; polynomial approximation; programmable filters; software radio; transceivers; CIC compensation filter; GSM; IS-95; UMTS; arbitrary sample rate alterations; cascaded integrator comb filters; commercial wireless communication standards; computational complexity; digital IF stage; efficient fractional sample rate conversion; hardware utilization; maximum passband ripple; multi-standard software defined radios; multi-standard wireless transceivers; polynomial interpolation; programmable filter; software radio simulation model; Computational complexity; Computer architecture; Filters; Hardware; Interpolation; Passband; Polynomials; Software radio; Software testing; Transceivers; CIC Compensation Filter; Farrow interpolator; sample rate conversion; software defined radio;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366239