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Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking.

Juhyeon Park1, Heoncheol Lee2, Hyuck-Hoon Kwon3

  • 1School of Electronic Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea.

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|October 28, 2023
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Summary

This study introduces a parallelized particle swarm optimization (PSO) method accelerated by field-programmable gate arrays (FPGAs) for real-time ballistic target tracking. This approach significantly reduces computation time compared to traditional PSO methods.

Keywords:
ballistic target trackingfield-programmable gate arrayparticle swarm optimizationrealtime system

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Area of Science:

  • * Aerospace Engineering
  • * Computer Science
  • * Signal Processing

Background:

  • * Real-time tracking of high-speed ballistic targets presents significant computational challenges.
  • * Conventional particle swarm optimization (PSO) is computationally intensive, limiting its application in real-time systems.
  • * Nonlinearity in measurement models and target dynamics further complicate ballistic target tracking.

Purpose of the Study:

  • * To develop an accelerated particle swarm optimization (PSO) technique for real-time ballistic target tracking.
  • * To address the computational time limitations of traditional PSO in high-speed tracking scenarios.
  • * To leverage hardware acceleration for improved tracking performance.

Main Methods:

  • * Implementation of a parallelized particle swarm optimization (PSO) algorithm.
  • * Utilizing a field-programmable gate array (FPGA) for hardware acceleration of the PSO algorithm.
  • * Testing and analysis on a heterogeneous processing system integrating an FPGA.

Main Results:

  • * The proposed parallelized PSO achieved successful real-time ballistic target tracking.
  • * Tracking results were comparable to conventional PSO methods.
  • * Computation time was significantly reduced by up to 3.89× compared to CPU-based PSO.

Conclusions:

  • * Parallelized PSO on FPGAs offers a viable solution for real-time ballistic target tracking.
  • * Hardware acceleration effectively overcomes the computational limitations of traditional PSO.
  • * The proposed method demonstrates substantial improvements in processing speed for high-speed tracking applications.