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Related Experiment Videos

Combining DCQGMP-Based Sparse Decomposition and MPDR Beamformer for Multi-Type Interferences Mitigation for GNSS

Qiang Guo1, Liangang Qi2

  • 1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. guoqiang@hrbeu.edu.cn.

Sensors (Basel, Switzerland)
|April 11, 2017
PubMed
Summary

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This study introduces a novel method for Global Navigation Satellite System (GNSS) receivers to mitigate multiple interference types. The technique combines sparse decomposition and beamforming to effectively suppress interference without distorting navigation signals.

Area of Science:

  • Signal Processing
  • Navigation Systems
  • Electromagnetics

Background:

  • Existing time and frequency domain interference suppression methods degrade with multiple interfering signals.
  • Antenna array techniques for interference suppression are limited by size and hardware costs.
  • GNSS receivers face challenges with multi-type interferences, impacting performance.

Purpose of the Study:

  • To propose a cascaded method for mitigating multi-type interferences in GNSS receivers.
  • To enhance interference suppression by leveraging sparse features in different domains.
  • To improve the timeliness and effectiveness of sparse decomposition for multi-channel signals.

Main Methods:

  • A cascaded approach combining improved double chain quantum genetic matching pursuit (DCQGMP)-based sparse decomposition and a minimum power distortionless response (MPDR) beamformer.
Keywords:
DCQGMPGNSSMPDRmulti-type interferences suppressionsparse decomposition

Related Experiment Videos

  • DCQGMP, integrating an improved double chain quantum genetic algorithm (DCQGA) with matching pursuit (MP), is used for initial interference cancellation.
  • The method is extended for multi-channel signals, exploiting inter-channel correlations, followed by MPDR beamforming for residual interference.
  • Main Results:

    • The proposed method effectively cancels single-tone, multi-tone, and linear chirp interfering signals through sparse decomposition.
    • It addresses residual interferences like wideband Gaussian noise using the MPDR beamformer.
    • Simulation results demonstrate improved interference mitigation degree of freedom (DoF) and effective handling of co-directional interference.

    Conclusions:

    • The proposed cascaded method offers a robust solution for multi-type interference mitigation in GNSS receivers.
    • It successfully suppresses various interference types, including those from the same direction as GNSS signals, without significant navigation signal distortion.
    • The technique enhances the performance and reliability of GNSS receivers in complex electromagnetic environments.