Acceleration-invariant pulse compression using hyperbolic frequency modulated waveforms

J. Yang, T. K. Sarkar

Research output: Chapter in Book/Entry/PoemConference contribution

4 Scopus citations

Abstract

It is well known that hyperbolic frequency modulated waveform is Doppler-invariant. However it suffers severe distortion when the velocity of the target is not constant. In this paper we demonstrate that the acceleration of the target results in a frequency shift which is the source of the signal distortion under the assumption that the acceleration is constant and along the direction of the velocity. Therefore the frequency-shifted version of the matched filter can be applied to eliminate the mismatch between the reflected signal and the matched filter caused by the acceleration of the target. An example of rectangular envelope hyperbolic frequency modulated pulse is presented to illustrate the effect of the acceleration on signal distortion and a bank of filters with selected value of frequency shift are applied to the distorted waveform to improve the compression of the pulse. The simulation also illustrates that the noise performance of the pulse compression is not affected by the frequency shift scheme.

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 2006
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
Country/TerritoryUnited States
CityLihue
Period1/22/061/27/06

Keywords

  • Acceleration-Invariance
  • Frequency Modulation
  • Pulse Compression

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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