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An Adaptive Multi-Target Radar Waveform Design Based on PWS Algorithm.

Bin Wang1, Shumin Li1, Xishi Wang1

  • 1School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel radar waveform design algorithm for detecting multiple targets in clutter. The probability-weighted summation (PWS) method enhances detection performance and target information accuracy.

Keywords:
Jensen inequalitycognitive radardetection performanceinformation theoryprobability-weighted summation (PWS)

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Information Theory

Background:

  • Uncertainty in radar target prior information limits traditional waveform design.
  • Existing methods struggle with multi-target detection in cluttered environments.

Purpose of the Study:

  • To develop an advanced radar waveform design for improved multi-target detection and parameter estimation in clutter.
  • To address limitations of prior information-dependent designs.

Main Methods:

  • Proposed a linear probability-weighted summation (PWS) algorithm utilizing multi-target impulse response.
  • Incorporated mutual information (MI) and signal-to-interference ratio (SINR) criteria for waveform design.
  • Investigated multi-target scenarios, adapting the water-filling algorithm using Jensen's inequality for objective functions and energy constraints.

Main Results:

  • The PWS algorithm demonstrated superior detection performance compared to traditional methods.
  • The proposed approach yielded more accurate target information.
  • Simulation results validated the effectiveness of the new waveform design.

Conclusions:

  • The developed PWS algorithm offers a significant advancement in radar waveform design for multi-target detection.
  • This method effectively overcomes challenges posed by clutter and uncertain target information.
  • The findings contribute to enhanced radar system capabilities in complex scenarios.