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Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-Base Station and 5G SSB Signals.

Yike Xu1, Gangyi Tu1, Luyan Zhang1

  • 1School of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Sensors (Basel, Switzerland)
|April 14, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a 5G localization method using radar and synchronization signal blocks (SSB). The technique accurately estimates target positions by analyzing signal strength, outperforming existing methods.

Keywords:
5G systemRSRPSSB detection and identificationmulti-beam

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Area of Science:

  • Wireless communication
  • Signal processing
  • Geolocation technology

Background:

  • Accurate localization is crucial for various applications.
  • Existing methods face challenges in complex signal environments.
  • 5G networks offer new possibilities for precise positioning.

Purpose of the Study:

  • To develop an advanced localization method using 5G signals.
  • To improve positioning accuracy and robustness.
  • To compare the proposed method against established techniques.

Main Methods:

  • Utilizing an exogenous radar with multi-base stations and 5G downlink synchronization signal blocks (SSB).
  • Combining physical cell identities (PCIs)-based identification with extensive cancellation algorithm (ECA) to process SSB signals.
  • Implementing a two-stage localization approach: coarse positioning via SSB beam characteristics and fine-tuning by comparing reference signal receiving power (RSRP) values.

Main Results:

  • The proposed method successfully reconstructs and cancels strong SSB signals to obtain ordered RSRP values.
  • Simulations under varying signal-to-noise ratio (SNR), reference point density, and signal jitter conditions were performed.
  • The method demonstrated superior performance compared to Fang's time difference of arrival (Fang-TDOA) and observed time difference of arrival (OTDOA) methods.

Conclusions:

  • The developed localization technique offers enhanced accuracy in 5G environments.
  • The method's robustness is validated across different simulation parameters.
  • This approach represents a significant advancement in wireless localization technologies.