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Interference: Path Lengths01:10

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Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
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A New GNSS Interference Detection Method Based on Rearranged Wavelet-Hough Transform.

Kewen Sun1,2,3, Tengteng Zhang1,2

  • 1School of Computer and Information, Hefei University of Technology, Tunxi Road 193, Hefei 230009, China.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

A new rearranged wavelet-Hough transform (RWHT) method enhances global navigation satellite system (GNSS) receiver performance by improving interference detection. This novel approach effectively identifies radio frequency interference (RFI), ensuring more reliable GNSS operation.

Keywords:
global navigation satellite system (GNSS)interference detectionrearranged wavelet–Hough transform (RWHT)rearrangementwavelet transform

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Area of Science:

  • Signal Processing
  • Navigation Systems
  • Electromagnetics

Background:

  • Radio frequency interference (RFI) significantly degrades Global Navigation Satellite System (GNSS) receiver performance.
  • Effective interference detection is crucial for maintaining the reliability and accuracy of GNSS receivers.

Purpose of the Study:

  • To propose and evaluate a novel rearranged wavelet-Hough transform (RWHT) method for detecting interference in GNSS receivers.
  • To compare the performance of the RWHT method against conventional techniques like Wigner-Ville distribution (WVD) and Wigner-Hough transform (WHT).

Main Methods:

  • The study introduces a hybrid method combining rearranged wavelet transform and Hough transform (HT) for interference detection.
  • The rearranged wavelet-Hough transform (RWHT) method was tested on sweep interference and continuous wave (CW) interference signals.
  • Performance was evaluated through controlled test bench experiments and compared with WVD and WHT.

Main Results:

  • The RWHT method demonstrated reduced cross-item interference and improved energy aggregation properties.
  • Significant performance improvements were observed: 90.3% in initial frequency estimation and 30.8% in chirp rate estimation for sweep interfering signals compared to WHT.
  • The method effectively detects major types of GNSS interfering signals generated by jammers.

Conclusions:

  • The proposed RWHT method is a valid and effective technique for GNSS interference detection.
  • RWHT offers superior performance in estimating key parameters of interfering signals compared to existing methods.
  • This advancement contributes to more robust and reliable GNSS receiver systems.