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Radar Target Detection Algorithm Using Convolutional Neural Network to Process Graphically Expressed Range Time

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Summary
This summary is machine-generated.

This study introduces a novel convolutional neural network algorithm for radar target detection in low signal-to-noise ratio environments. The new method significantly improves detection probability for long-range small targets compared to traditional techniques.

Keywords:
convolutional neural networkdetection probabilitygraphicallow signal-to-noise ratio

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Area of Science:

  • Radar Signal Processing
  • Artificial Intelligence
  • Target Detection

Background:

  • Low signal-to-noise ratio (SNR) in radar systems degrades target detection performance.
  • This degradation critically impacts the tracking and recognition of long-range, small targets.
  • Existing methods like multi-pulse accumulation may not be sufficient in challenging low-SNR conditions.

Purpose of the Study:

  • To develop an advanced target detection algorithm for radar systems operating in low SNR environments.
  • To enhance the detection probability of long-range small targets.
  • To leverage deep learning, specifically convolutional neural networks (CNNs), for improved radar signal analysis.

Main Methods:

  • Graphical representation of two-dimensional (2D) echo signals from radar.
  • Application of an improved convolutional neural network (CNN) for detecting targets within the graphical echo data.
  • Comparative analysis against traditional multi-pulse accumulation detection methods.

Main Results:

  • The proposed CNN-based algorithm demonstrates a higher target detection probability under low SNR conditions.
  • Simulation results validate the effectiveness of the graphical echo signal processing approach.
  • Significant performance improvement over the conventional multi-pulse accumulation detection method.

Conclusions:

  • The CNN-based target detection algorithm is effective for radar systems in low SNR scenarios.
  • Graphical processing of echo signals combined with CNNs offers a robust solution for detecting small, long-range targets.
  • This approach represents a significant advancement in radar target detection technology.