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Frequency Instability Impact of Low-Cost SDRs on Doppler-Based Localization Accuracy.

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High frequency stability in software-defined radio (SDR) is crucial for accurate signal Doppler frequency (SDF) location. Using an external frequency standard significantly reduces location errors for SDR-based sensors.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radio Frequency Engineering

Background:

  • Software-defined radio (SDR) platforms are increasingly utilized in radio frequency (RF) sensing applications.
  • Accurate localization using the signal Doppler frequency (SDF) method is dependent on the frequency stability of the SDR.
  • Existing SDR platforms may exhibit frequency instability, impacting the precision of SDF-based localization.

Purpose of the Study:

  • To evaluate the suitability of widely available SDR platforms for SDF localization.
  • To investigate the impact of SDR frequency stability on localization accuracy.
  • To identify optimal SDR platforms and frequency standards for enhanced SDF localization.

Main Methods:

  • Characterization of frequency stability for selected SDR platforms, both with and without an external rubidium clock.
  • Classification of SDR devices into three tiers based on measured frequency stability.
  • Estimation of localization accuracy for each device class under short- and long-range scenarios via simulation.

Main Results:

  • Localization error was reduced from 20 km to 30 m (long-range) and 15 km to 2 m (short-range) by incorporating an external frequency standard.
  • The study established a direct correlation between SDR frequency stability and SDF localization accuracy.
  • External frequency standards are essential for mitigating SDR frequency instability in Doppler effect-based location sensors.

Conclusions:

  • The bladeRF 2.0 micro xA4 or USRP B200mini-i SDR platforms, coupled with a chip-scale atomic clock (CSAC SA.45s), are recommended for SDF location sensors.
  • These configurations enable precise positioning of radio emitters with minimal errors.
  • Future research should focus on developing compact, low-power, and stable SDF location sensor systems.