IEEE CIR & CIS: Digital Signal Processors in Satellite Communications

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Presentation: Digital Signal Processors in Satellite Communications
Abstract: Modern communications satellites utilize a variety of techniques to implement point-to-point connectivity between terrestrial users and ground-based infrastructure. Among these are digital signal processing (DSP) algorithms that are implemented in several forms, providing flexibility and multi-user capability in lightweight, rugged platforms that can withstand the rigors of spaceflight. Presented are the types of platforms that currently exist, their orbits, their coverage and connectivity characteristics, the algorithms they use to manage user bandwidth effectively, and the hardware they are implemented on. Several examples are shown, along with typical block diagrams and performance characteristics, along with a perspective for future growth.

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  • Date: 20 Mar 2024
  • Time: 06:00 PM to 07:00 PM
  • All times are (UTC-06:00) Mountain Time (US & Canada)
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  • Starts 05 March 2024 12:00 AM
  • Ends 20 March 2024 12:00 AM
  • All times are (UTC-06:00) Mountain Time (US & Canada)
  • No Admission Charge

  Speakers

Bradford Watson

Topic:

Digital Signal Processors in Satellite Communications

Abstract: Modern communications satellites utilize a variety of techniques to implement point-to-point connectivity between terrestrial users and ground-based infrastructure. Among these are digital signal processing (DSP) algorithms that are implemented in several forms, providing flexibility and multi-user capability in lightweight, rugged platforms that can withstand the rigors of spaceflight. Presented are the types of platforms that currently exist, their orbits, their coverage and connectivity characteristics, the algorithms they use to manage user bandwidth effectively, and the hardware they are implemented on. Several examples are shown, along with typical block diagrams and performance characteristics, along with a perspective for future growth.

Biography:

Mr. Bradford Watson

  • Fellow, Principal Engineer, Lockheed Martin Space Company
  • Member, IEEE

Bradford Watson holds a Master of Science in Electrical Engineering with an emphasis on Signal Processing from the University of Colorado at Denver and a Bachelor of Science in Electrical Engineering from the Metropolitan State University of Denver. Brad has been a Lockheed Martin Fellow since 2023 and a Principal Engineer with over two decades of experience in the development and implementation of digital signal processing algorithms for spaceflight applications. His areas of interest are digital communications, detection and characterization, and digital design.

Additionally, Brad holds US patent #7675985: “Digital Channelizer Unit (DCU)” and authored a book on spectral channelization and reconstruction, “Channelizers and Reconstructors – A Design Guide.” Nova Science Publishers ISBN 1685071740. And has led the development of numerous modern digital processing payloads for the commercial, government, and international space sectors.