Abstract

With the rapid development of computers and communications, more and more chips are required to have small size, low-power and high performance. Digital filter is one of the basic building blocks used for implementation in Very Large Scale Integration (VLSI) of mixed-signal circuits. This paper presents a design of decimation filter used for digital filtering. It consists of Cascode Integrated Comb (CIC) filters, using Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters structure. This architecture provides small area and low power consumption by avoiding the use of multiplication structure. This design presents the way of speeding up the route from the theoretical design with Simulink/Matlab, via behavioral simulation in fixed-point arithmetic to the implementation on either ASIC. This has been achieved by porting the netlist of the Simulink system description into the Very high speed integrated circuit Hardware Description Language (VHDL). At the first instance, the Simulink-to-VHDL converter has been designed to use structural VHDL code to describe system interconnections, allowing simple behavioral descriptions for basic blocks. A comparison of several architectures of this circuit based on different architectures of most popular filter is presented. The comparison includes: supply voltage, power consumption, area and technology. This approach consumes only 2.94 mW of power at a supply voltage of 3V. The core chip size of the filter block without bonding pads is 0.058 mm2 by using the AMS 0.35 µm CMOS technology.

Highlights

  • Analog filters are cheaper, faster and have large dynamic range in both amplitude and frequency

  • Quality is better than analog filters to digital filters can achieve performance unique [1]

  • Its function is to remove all of the out-of-band signals and noise and to reduce the sampling rate by M, where M is the over-sampling ratio (OSR)

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Summary

INTRODUCTION

Analog filters are cheaper, faster and have large dynamic range in both amplitude and frequency. Quality is better than analog filters to digital filters can achieve performance unique [1]. Digital filters are often ignored in order to better filter performance [3]. The increasing use in telecommunication digital technique, like audio applications, supported the analog to digital converter use [4] It proved that the traditional converters do not reach high performances on a small surface. There are two basic types of digital filters: Finite impulse response (FIR) filters and infinite impulse response (IIR) filters [7]. All main parameters of the described decimation filter are indicated with a full comparison of the most popular designs

DECIMATION FILTER
Z M 1 Z 1
Half band Filter Design
CONCLUSION
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