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Performance Evaluation of Non-GPS Based Localization Techniques under Shadowing Effects.

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Summary
This summary is machine-generated.

Weighted combinations of Angle-of-Arrival (AOA) and Received Signal Strength Indicator (RSSI) improve non-GPS localization accuracy in shadowing. Increasing AOA weight enhances precision, especially at high Signal-to-Noise Ratios (SNRs).

Keywords:
AOANon-GPS localizationRSSIVANETshadowing effects

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Area of Science:

  • Wireless communication
  • Localization technologies
  • Signal processing

Background:

  • Global Positioning System (GPS) struggles with accuracy in shadowing environments.
  • Received Signal Strength Indicator (RSSI) and Angle-of-Arrival (AOA) are common non-GPS localization methods.
  • Limited analysis exists for weighted combinations of RSSI and AOA in shadowing.

Purpose of the Study:

  • To propose and analyze weighted combinations of AOA and RSSI for non-GPS localization.
  • To develop a mathematical model for shadowing effects on these methods.
  • To evaluate accuracy and precision trade-offs in shadowing environments.

Main Methods:

  • Proposed weighted combinations: pAOA + qRSSI.
  • Devised mathematical model for shadowing effects.
  • Conducted simulations to evaluate localization performance.

Main Results:

  • Increased anchor count does not guarantee improved precision or accuracy.
  • AOA is more resilient to shadowing than RSSI.
  • Higher AOA weight and lower RSSI weight improve accuracy and precision at high SNRs.

Conclusions:

  • Weighted AOA and RSSI combinations offer improved non-GPS localization in shadowing.
  • AOA's robustness is key to enhancing performance.
  • Power control algorithms can maintain high SNRs for better accuracy and precision.