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Related Concept Videos

Radial System Protection01:23

Radial System Protection

140
Radial systems employ time-delay overcurrent relays to reduce load interruptions. When a fault occurs, the nearest breaker opens first, while upstream breakers remain closed due to longer delay settings. This approach ensures minimal disruption to the rest of the system.
In a radial system with a fault downstream of the third breaker, ideally, only the third breaker will open, isolating the fault and interrupting the load connected beyond it. The second breaker has a longer delay setting,...
140

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Resource Scheduling for Multitarget Imaging in a Distributed Netted Radar System Based on Maximum Scheduling

Tianchen Hu1, Kefei Liao1, Shan Ouyang1

  • 1Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China.

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|September 9, 2022
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Summary

This study introduces a novel resource scheduling algorithm for distributed netted radar systems. The algorithm optimizes multitarget imaging by maximizing scheduling benefits, outperforming traditional methods.

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distributed netted radarmultitarget imagingresource schedulingscheduling benefit

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Distributed multiple-input multiple-output (MIMO) radar offers enhanced performance for netted radar development.
  • Netted radar systems face challenges with limited resource allocation for multitarget imaging.

Purpose of the Study:

  • To propose a resource scheduling algorithm for distributed netted radar systems.
  • To address the challenge of limited resource allocation in multitarget imaging scenarios.

Main Methods:

  • Extends distributed MIMO radar concepts to netted radar systems.
  • Develops a resource scheduling algorithm based on maximizing scheduling benefits.
  • Considers target characteristics, angle, and dwell time for radar-target matching.
  • Applies compressed sensing principles for sparse imaging resource calculation.
  • Defines scheduling benefit by weighting success rate, hit value rate, and pulse resource consumption.
  • Employs a heuristic algorithm to solve the resource scheduling model.

Main Results:

  • The proposed algorithm improves overall scheduling benefits compared to traditional methods.
  • Demonstrates enhanced performance in multitarget imaging for distributed netted radar.

Conclusions:

  • The developed resource scheduling algorithm effectively enhances netted radar system performance.
  • Maximizing scheduling benefits is a viable strategy for resource allocation in distributed netted radar systems.