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A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction.

Karol Abratkiewicz1, Piotr Samczyński1

  • 1Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, Poland.

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|November 21, 2019
PubMed
Summary

This study introduces a new, rapid method for reconstructing non-linear frequency modulated (NLFM) signals using instantaneous chirp rate estimation. This fast and accurate technique enhances applications in electronic warfare and radar systems.

Keywords:
ELINT systemsbistatic radarchirp rate estimationelectromagnetic spectrum-sensingelectronic warfarepassive radarradar countermeasuresradar measurementsradar pulse estimation

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Non-linear pulse signal reconstruction is crucial for advanced applications like Electronic Intelligence (ELINT), electronic warfare (EW), and electronic reconnaissance (ER).
  • Existing reconstruction methods can be time-consuming, limiting real-time applicability in dynamic environments.
  • Passive bistatic radar systems also require efficient signal processing for target detection and tracking.

Purpose of the Study:

  • To develop a novel, fast, and accurate method for non-linear pulse signal reconstruction.
  • To improve the efficiency of signal processing in electromagnetic sensing applications.
  • To enable precise reconstruction of non-linear frequency modulated (NLFM) signals.

Main Methods:

  • Instantaneous chirp rate (CR) estimation in the time-frequency (TF) domain.
  • Calculation of the frequency rate between consecutive samples for signal reconstruction.
  • Validation using simulated and real-life radar signals, compared against the Extended Generalized Chirp Transform (EGCT) method.

Main Results:

  • The proposed method achieves significantly faster reconstruction times compared to existing techniques.
  • High accuracy in reconstructing non-linear frequency modulated (NLFM) signals was demonstrated.
  • Successful validation on both simulated and real-world radar data confirmed practical usability.

Conclusions:

  • The instantaneous chirp rate estimation method offers a superior approach for fast and accurate non-linear pulse signal reconstruction.
  • This technique is highly applicable to electromagnetic sensors in ELINT, EW, ER, and passive bistatic radar.
  • The method provides a practical and efficient solution for advanced radar and electronic intelligence systems.