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A Circular Fitting Clutter Suppression Algorithm Based on ISAC for Low Altitude UAVs.

Qi Liu1, Meng Song1, Jinghan Yu2

  • 1China Unicom Smart City Research Institute, Beijing 100048, China.

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Summary
This summary is machine-generated.

This study introduces a new circular fitting algorithm to suppress static clutter interference for low-altitude drones. The method improves target detection in complex environments, outperforming existing techniques for dynamic targets.

Keywords:
ISACcircular fitting algorithmclutter suppressionlow-altitude UAV

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Aerospace Engineering

Background:

  • Low-altitude drones face significant static clutter interference during perception.
  • Existing clutter suppression algorithms like Moving Target Indicator (MTI) suffer from residual interference and high computational costs.

Purpose of the Study:

  • To propose a novel circular fitting clutter suppression algorithm for integrated communication and perception systems.
  • To address the limitations of existing methods in mitigating static clutter for unmanned aerial vehicles (UAVs).

Main Methods:

  • A circular fitting algorithm is employed, leveraging orthogonal frequency-division multiplexing (OFDM) symbol characteristics on subcarriers.
  • The method utilizes the distinct OFDM echo channel characteristics of drone targets versus static environmental interference.
  • An energy ratio metric is introduced for quantitative comparison of clutter suppression effectiveness.

Main Results:

  • The proposed algorithm effectively suppresses static clutter.
  • Distinguishability of dynamic targets in the range-Doppler (RD) spectrum is significantly enhanced.
  • The method demonstrates superior performance, particularly for low-speed group targets, compared to existing algorithms.

Conclusions:

  • The circular fitting algorithm offers a robust solution for static clutter suppression in drone perception systems.
  • This approach overcomes limitations of current technologies, improving dynamic target perception in cluttered environments.
  • The proposed method enhances the reliability and performance of UAVs operating in ground-level conditions.