A Modular Mixed Signal VLSI Design Approach for Digital Radar Applications

Abstract

This study explores the idea of building a library of VHDL con gurable components for use in digital radar applications. Con gurable components allows a designer to choose which components he or she needs and con gures those components for a speci c application. By doing this, design time for ASICs and FPGAs is shortened because the components are already designed and tested. This idea is demonstrated with a con gurable dynamic pipelinable fast fourier transform. Many FFT implementations exist, but this implementation is both con gurable and dynamic. Pre-synthesis customization allows the FFT to be tailored to almost any DSP application, and the dynamic property allows the FFT to calculate di erent length FFTs run-time. Three objectives will be accomplished: design and characterization of the aforementioned FFT; analysis of the error involved in the FFT calculation using di erent twiddle factor bit widths; and nally an analysis of all the con gurations for the synthesized design using a 90nm technology library. Speeds of up to 225 MHz have been simulated for a length-1024 FFT using the 90 nm technology.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA469484

Entities

People

  • Brian M. Brakus

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Application-Specific Integrated Circuits
  • C Programming Language
  • Complementary Metal-Oxide Semiconductors
  • Computer Programming
  • Computers
  • Department Of Defense
  • Digital Signal Processing
  • Energy Consumption
  • Field Programmable Gate Arrays
  • Frequency Domain
  • Integrated Circuits
  • Radar
  • Semiconductor Manufacturing
  • Semiconductors
  • United States Government

Readers

  • Approximation Theory.
  • Parallel and Distributed Computing.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.