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Related Concept Videos

Echo01:06

Echo

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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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Extended Target Echo Detection Based on KLD and Wigner Matrices.

Dingsu Xie1, Fei Wang1, Jun Chen2

  • 1Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Ministry of Education, Nanjing 210016, China.

Sensors (Basel, Switzerland)
|December 11, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for detecting stealthy extended targets using wideband radar signals. The method improves detection probability by overcoming limitations of traditional radar systems.

Keywords:
Kullback–Leibler Divergence (KLD)Wigner matrixecho detectionextended targetradio frequency stealth (RFS)wideband radar

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Information Theory

Background:

  • Airborne radar radio frequency stealth (RFS) technology development necessitates improved target detection methods.
  • Traditional point target models are inadequate for wideband radar signals, which exhibit extended target characteristics in the range dimension.
  • Existing echo detection algorithms struggle with stealthy extended targets in wideband radar scenarios.

Purpose of the Study:

  • To devise an efficient echo detection algorithm for stealthy extended targets observed with wideband radar signals.
  • To address the limitations of traditional methods in detecting extended targets in the range dimension.
  • To enhance the detection probability of radar systems against advanced stealth targets.

Main Methods:

  • Utilizing aperiodic agile wideband radar signals for target observation.
  • Reconstructing echo signals within a range gate into a Wigner matrix spectral decomposition data form.
  • Employing Kullback-Leibler Divergence (KLD) as a test statistic for echo detection based on signal detection theory.

Main Results:

  • The proposed algorithm demonstrates superior detection performance compared to established methods.
  • Statistical analysis and simulations confirm the algorithm's strong robustness.
  • The new approach effectively overcomes deficiencies of traditional narrowband radar detection algorithms.

Conclusions:

  • The developed algorithm significantly enhances the detection probability for stealthy extended targets.
  • This method offers a robust solution for wideband radar systems facing challenging stealth targets.
  • The findings contribute to advancing radar capabilities in electronic warfare and surveillance.