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Signal Processing for Novel Noise Radar Based on de-chirp and Delay Matching.

Xinquan Cao1, Shiyuan Zhang1, Ke Tan1

  • 1School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

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|November 27, 2024
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Summary

This study introduces a novel composite radar waveform using noise frequency modulation (NFM) and linear frequency modulation (LFM) to improve anti-jamming capabilities. The method optimizes echo processing, maintaining detection performance while reducing hardware costs.

Keywords:
de-chirpdelay matchinglinear frequency modulationnoise frequency modulationreduced sampling rate

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Traditional frequency-modulated continuous wave (FMCW) radar suffers from poor anti-jamming capabilities.
  • High sampling rates in FMCW radar increase hardware costs and reduce processing efficiency.
  • Advanced radar systems require enhanced signal quality and detection performance.

Purpose of the Study:

  • To develop a composite radar waveform with improved anti-jamming capabilities.
  • To propose an optimized echo signal processing method for enhanced radar detection.
  • To reduce system hardware costs and improve data processing efficiency in radar systems.

Main Methods:

  • A composite radar waveform combining noise frequency modulation (NFM) and linear frequency modulation (LFM) signals was constructed.
  • A de-chirp technique using a locally generated LFM signal processed received echoes into a narrowband difference frequency noise signal.
  • Delay matching in the fast time domain using a locally generated NFM signal was performed for target delay information acquisition.

Main Results:

  • The composite waveform enhanced signal complexity and anti-jamming capabilities.
  • The proposed processing method maintained wideband echo signal detection performance despite reduced analog-to-digital (A/D) sampling rates.
  • Sidelobe levels and range resolution were preserved, enabling accurate target detection through slow-time domain accumulation.

Conclusions:

  • The developed composite radar waveform and echo processing method effectively enhance radar performance.
  • The approach offers a viable solution for improving anti-jamming capabilities and reducing hardware costs in modern radar systems.
  • Simulation experiments validated the effectiveness of the proposed technique for target detection.