Energy threshold constraints in transmit waveform design

S. Unnikrishna Pillai, Ke Yong Li, Braham Himed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Waveform diversity refers to the use of various waveforms in both transmitter and receiver design to improve overall system performance. The target/channel, noise, and clutter characteristics will play a major role in future transmitter and receiver designs, in order to enhance the corresponding desired final output (target), while providing for a good disturbance (clutter + noise) suppression. In this context, the receiver output Signal to Interference plus Noise Ratio (SINR) may be taken as an optimization goal. In this paper, it is shown that this optimization procedure leads to an energy threshold on transmit waveforms, which means that for a given bandwidth, the energy of the optimum transmit waveform must exceed a certain minimum threshold value. Thus, to achieve the optimum transmit waveform for a given target, clutter and noise spectra, it becomes necessary to transmit a minimum energy below which it will not be possible to realize the maximum SINR using any waveform.

Original languageEnglish (US)
Title of host publication2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538648483
DOIs
StatePublished - Mar 21 2018
Event2nd International Waveform Diversity and Design Conference, WDD 2006 - Lihue, United States
Duration: Jan 22 2006Jan 27 2006

Publication series

Name2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
Volume2018-January

Other

Other2nd International Waveform Diversity and Design Conference, WDD 2006
CountryUnited States
CityLihue
Period1/22/061/27/06

Keywords

  • Energy Threshold
  • Optimum Transmitter Receiver
  • Signal to Interference plus Noise Ratio (SINR)
  • Waveform Design
  • Waveform Diversity

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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