Mobile Networks and Applications

, Volume 24, Issue 1, pp 224–233 | Cite as

High Performance Reversible Direct Data Synthesizer for Radio Frequency Applications

  • R. M. BommiEmail author
  • S. Selvakumar Raja


Design of Reversible logic gate enabled Reconfigurable Direct digital synthesizer is evaluated here. The need for Direct Digital Synthesizers (DDS) inherently finds application in the area of radio frequency communication. DDS is a method of producing an analog waveform—usually a sine wave—by generating a time-varying signal in digital form and then performing a digital-to-analog conversion. The proposed design presents an important analysis based on Reversible logic gates for the application of DDS which is a powerful device employed to produce standard signal sweeps from lowest frequency to highest frequency. The sweeps of DDS frequency depends on the configurable frequency words produced by high speed Field Programmable Gate Array (FPGA) platforms. Because operations within DDS devices are primarily digital, it can offer fast switching between output frequencies, fine frequency resolution, and operation over a broad spectrum of frequencies. With advances in design and process technology, today’s DDS devices are very compact and draw little power. Here the proposed system focuses on development of DDS through Artificial Intelligence (AI) with Field Programmable Gate Array (FPGA) devices. The primary need for FPGA and AI combination provides the replacement of analog Phase Locked Loop (PLL) in traditional DDS circuits. The fully digital architecture enable the system able to configure the digital PLL developed inside the FPGA core. Low noise and Low power factor is being achieved through low power techniques utilized in the architecture development part. The proposed system increase the sweep frequency resolution, Reverse fluctuations through leakage voltage etc.


Frequency synthesizer AI DDS DPLL FPGA Fredkin gate Tuning word and FWORD 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Sathyabama Institute of Science and TechnologyChennaiIndia
  2. 2.KITS CollegeTelunganaIndia

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