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Interaction Multipath in Through-the-Wall Radar Imaging Based on Compressive Sensing.

Yigeng Ma1, Hong Hong2, Xiaohua Zhu3

  • 1School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. 311040793@njust.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a new method to reduce image ghosts in through-the-wall radar imaging (TWRI). The interaction compressive sensing (CS) technique effectively suppresses multipath interference from targets, improving imaging performance.

Keywords:
compressive sensingghost suppressioninteraction multipaththrough-the-wall radar imaging

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Area of Science:

  • Radar Imaging
  • Signal Processing
  • Electromagnetics

Background:

  • Multipath interference is a significant challenge in through-the-wall radar imaging (TWRI).
  • Existing methods primarily address wall reflections, neglecting target-to-target interactions.
  • Interaction multipath generates ghosting, degrading TWRI performance, especially in cluttered scenes with multiple targets.

Purpose of the Study:

  • To develop a novel method for mitigating interaction multipath effects in TWRI.
  • To improve ghost suppression and overall imaging quality in complex target environments.
  • To enable fast data acquisition and reduce measurement requirements.

Main Methods:

  • Utilized the propagation characteristics of interaction multipath to construct a sparse scene model.
  • Developed a compressive sensing (CS)-based approach, termed 'interaction CS'.
  • Evaluated performance by increasing the number of point targets from 5 to 8.

Main Results:

  • The proposed 'interaction CS' method demonstrated superior ghost suppression capabilities compared to existing techniques.
  • Performance was validated under identical signal-to-noise ratio (SNR) conditions.
  • Intensive evaluation showed significant improvements in imaging results with increasing target numbers.

Conclusions:

  • Interaction CS effectively suppresses ghosts caused by target-to-target multipath in TWRI.
  • The method offers a viable solution for enhancing TWRI performance in scenarios with multiple targets.
  • This CS-based approach contributes to more accurate and reliable through-the-wall imaging.