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Clutter Cancellation Methods for Small Target Detection Using High-Resolution W-band Radar.

Woosung Hwang1, Hongje Jang2, Myungryul Choi2

  • 1Department of EECI Engineering, Hanyang University, Seoul 04763, Republic of Korea.

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|September 9, 2023
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Summary

This study introduces a novel W-band radar system for detecting small, plastic drones. A new adaptive least mean squares (LMS) algorithm effectively suppresses clutter for accurate drone positioning.

Keywords:
least mean squares (LMS)radar clutterradar detectionradar signal processingrecursive least squares (RLS)

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Area of Science:

  • Electrical Engineering
  • Radar Systems
  • Signal Processing

Background:

  • Drone detection is challenging due to plastic materials and small sizes.
  • Existing radar systems struggle with clutter and noise in collected data.
  • Conventional clutter cancellation methods are insufficient for accurate drone positioning.

Purpose of the Study:

  • To propose and evaluate a W-band radar system for enhanced drone detection.
  • To develop and compare clutter cancellation algorithms for accurate target positioning.
  • To address the limitations of current methods in handling large, noisy datasets.

Main Methods:

  • Utilizing a W-band radar system to collect high-resolution data.
  • Implementing and comparing four clutter cancellation algorithms: standard deviation, adaptive LMS, RLS, and a proposed combined LMS-standard deviation method.
  • Conducting outdoor experiments to assess algorithm performance.

Main Results:

  • The proposed LMS algorithm demonstrated superior performance in clutter suppression compared to standard deviation, adaptive LMS, and RLS.
  • Accurate drone positioning was achieved by effectively canceling clutter from W-band radar data.
  • The W-band radar system provided high-resolution imaging suitable for distant targets.

Conclusions:

  • The proposed LMS algorithm offers an effective solution for clutter cancellation in W-band radar drone detection.
  • This approach enhances the accuracy of drone positioning, crucial for defense and security applications.
  • W-band radar technology, combined with advanced signal processing, shows significant promise for overcoming current drone detection challenges.