Abstract

Within wireless base station system design, manufacturers continue to seek ways to add value and performance while increasing differentiation. Transmit/receive functionality has become an area of focus as designers attempt to address the need to move data from very high frequency sample rates to chip processing rates. Digital Up Converter (DUC) and Digital Down Converter (DDC) are used as sample rate converters. These are the important block in every digital communication system; hence there is a need for effective implementation of sample rate converter so that cost can be reduced. With the recent advances in FPGA technology, the more complex devices providing high-speed as required in DSP applications are available. The filter implementation in FPGA, utilizing the dedicated hardware resources can effectively achieve application-specific integrated circuit (ASIC)-like performance while reducing development time cost and risks. So in this paper the technique for an efficient design of DDC for reducing sample rate is being suggested which meets the specifications of WiMAX system. Its effective implementation also ensures the pathway for the efficient applications in VLSI designs. Different design configurations for the sample rate converter are explored. The sample rate converter can be designed using half band filters, fixed FIR filters, poly-phase filters, CIC filters or even farrow filters.

Highlights

  • Sample rate conversion (SRC) is the process of changing the sampling rate of a data stream from a specific sampling rate to another sampling rate

  • Most high quality SRCs currently available on the market employ a digital filter that provides the required quality by up-sampling the data to a very high sampling rate followed by down-sampling to the required output sampling rate

  • The Cascaded Integrator Comb (CIC) filter is a digital filter which is employed for multiplier-less realization

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Summary

INTRODUCTION

Sample rate conversion (SRC) is the process of changing the sampling rate of a data stream from a specific sampling rate (e.g. the input/output hardware rate) to another sampling rate (e.g. the application rate). The Cascaded Integrator Comb (CIC) filter is a digital filter which is employed for multiplier-less realization This type of filter has extensive applications in low-cost implementation of interpolators and decimators. The Farrow filters is another class of digital filters which are used extensively in arbitrary sample rate conversions and fractionally delaying the samples. Farrow filters are implemented for fractional delay and arbitrary change in sample rate conversion. Both of these filter configurations provide a better performance than the common filter structures in terms of speed of operation, cost, and power consumption in real-time. The CIC filter is a combination of digital integrator and digital differentiator stages, which can perform the operation of digital low pass filtering and decimation at the same time.

CIC filter for sample rate conversion
CIC filters for Decimators
CIC filters in Interpolators
Filters with non integer Decimation factor
Comparison of CIC filters with and without compensation
Comparison of FIR and Farrow Sample Rate Conversions
CONCLUSION

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