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Radio tomographic imaging (RTI) and multi-static radar (MSR) improve device-free localization (DFL) using ultra-wideband signals. Multipath-assisted RTI enhances accuracy and reduces sensor needs, outperforming MSR and achieving precise location tracking.

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Area of Science:

  • Wireless communication
  • Localization technologies
  • Signal processing

Background:

  • Device-free localization (DFL) relies on RF sensors, with accuracy and cost influenced by sensor count.
  • Radio tomographic imaging (RTI) and multi-static radar (MSR) are key DFL approaches.
  • Basic RTI requires numerous sensors for accuracy, increasing costs.

Purpose of the Study:

  • To investigate how multipath propagation enhances RTI performance in DFL.
  • To evaluate the effectiveness of ultra-wideband (UWB) signals in mitigating multipath effects.
  • To compare the localization accuracy of RTI, multipath-assisted (MA)-RTI, MSR, and a combined approach.

Main Methods:

  • Utilized ultra-wideband (UWB) channel impulse response (CIR) measurements.
  • Modeled multipath effects to improve RTI accuracy and reduce sensor requirements.
  • Implemented and compared RTI, MA-RTI, MSR, and a combined approach using a Decawave DW1000 UWB chip.

Main Results:

  • Multipath analysis improves RTI performance.
  • MA-RTI demonstrates superior accuracy over MSR, with localization errors better than 0.82 m in 50% of cases.
  • The combined approach achieved the best localization accuracy, with errors better than 0.64 m in 50% of cases.

Conclusions:

  • Exploiting multipath propagation significantly enhances RTI-based DFL systems.
  • MA-RTI offers a more accurate and potentially cost-effective DFL solution compared to MSR.
  • Combined approaches yield the highest localization precision, paving the way for advanced DFL applications.