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Design of Optimized Coded LFM Waveform for Spectrum Shared Radar System.

Dong-Hoon Kim1, Hyung-Jung Kim2, Jae-Han Lim3

  • 1Department of Information and Telecommunication Engineering, Incheon Nat'l University, Incheon 22012, Korea.

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|September 10, 2021
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Summary

This study introduces an optimized coded Linear Frequency Modulation (LFM) waveform generation scheme to improve spectrum sharing in radar systems. The new method enhances waveform orthogonality, outperforming existing techniques in simulations.

Keywords:
Spectrum Shared Radar Systems (SSRS)code diversityoptimized coded LFMorthogonal waveforms

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Remote Sensing

Background:

  • Increasing demand for remote sensing necessitates efficient frequency resource utilization.
  • Spectrum Shared Radar Systems (SSRS) use orthogonal waveforms to mitigate interference but struggle with Linear Frequency Modulation (LFM) integration.
  • Existing methods show reduced orthogonality when combining orthogonal codes with LFM waveforms.

Purpose of the Study:

  • To propose a novel optimization framework for generating coded LFM waveforms.
  • To enhance the orthogonality of waveforms used in Spectrum Shared Radar Systems (SSRS).
  • To address the reduced orthogonality issue when LFM waveforms are combined with orthogonal codes.

Main Methods:

  • Developed a new optimization framework to generate coded LFM waveforms.
  • Minimized the weighted sum of autocorrelation sidelobe peaks (ASP) and cross-correlation peaks (CP).
  • Utilized computer simulations to validate the proposed waveform generation scheme.

Main Results:

  • The proposed scheme generates optimized coded LFM waveforms.
  • Waveforms generated exhibit improved orthogonality compared to previous methods.
  • Demonstrated superior performance in terms of autocorrelation sidelobe peaks (ASP) and cross-correlation peaks (CP).

Conclusions:

  • The proposed optimization framework effectively generates coded LFM waveforms with enhanced orthogonality.
  • This approach offers a significant improvement for Spectrum Shared Radar Systems (SSRS) facing frequency resource depletion.
  • The optimized waveforms provide better performance metrics (ASP and CP) than existing solutions.