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Low-Complexity Wideband Interference Mitigation for UWB ToA Estimation.

Stefan Hechenberger1,2, Stefan Tertinek3, Holger Arthaber1,2

  • 1Institute of Electrodynamics, Microwave and Circuit Engineering, TU Wien, 1040 Vienna, Austria.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a low-complexity interference mitigation technique for precise time of arrival (ToA) estimation in dense multipath environments. The method effectively reduces interference, improving accuracy even with limited computational resources.

Keywords:
LCMVUWBangle of arrivalarray processinginterferencelocalizationlow-complexitytime of arrival

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Area of Science:

  • Signal Processing
  • Wireless Communications
  • Estimation Theory

Background:

  • Accurate time of arrival (ToA) estimation is crucial for wireless systems, but challenging in dense multipath (DM) environments with strong interference.
  • Increasing spectrum sharing necessitates efficient interference mitigation techniques, especially for low-energy devices with limited computational power.

Purpose of the Study:

  • To propose and evaluate a low-complexity interference mitigation method for ToA estimation in DM environments.
  • To assess the performance of the proposed method against traditional approaches under realistic conditions.

Main Methods:

  • A linearly constrained minimum variance (LCMV) interference mitigation approach combined with a detection-based ToA estimator.
  • Evaluation using realistic multipath and interference scenarios through measurements and simulations.
  • Statistical analysis of ToA estimation error using Mean Absolute Error (MAE) and comparison with band-stop filter methods.

Main Results:

  • The proposed LCMV method significantly reduces the impact of strong interference, even when interference bandwidth exceeds 60% of the signal bandwidth.
  • The algorithm demonstrates robustness to uncertainties in the angle of arrival (AoA) of the desired signal.
  • Performance was validated through statistical analysis of ToA estimation error (MAE).

Conclusions:

  • The developed low-complexity LCMV interference mitigation technique is highly suitable for ToA estimation in challenging wireless environments.
  • The method is particularly advantageous when dealing with wideband interference and strict computational power constraints.
  • The approach is effective for receivers with minimal elements (e.g., two) and can be extended to multi-element systems.