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Demo script (Python) of particle swarm optimization (PSO) partly translated from SDMBIGDAT19 (MATLAB).

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PSO_python_demo

Demo script (Python) of particle swarm optimization (PSO) partly translated from SDMBIGDAT19 (MATLAB).

Mock Data Challenge

  • Given
    • Training data containing only noise: TrainingData.mat
    • Noise is Gaussian, stationary
    • Data to be analysed: analysisData.mat
    • Signal: Quadratic chirp
    • Parameter search ranges:
      • 40 < a1 < 100
      • 1 < a2 < 50
      • 11 < a3 < 15
  • Detection and Estimation
    • Detection: Is there a signal in the analysis data?
    • Estimation: If so, estimate its parameters
    • Use PSO to obtain generalized likelihood ratio test (GLRT) and maximum likelihood estimate (MLE)
    • Recommended PSO parameters:
      • Best of 8 runs
      • Termination at 2000 iterations

Pre-requirements

  • Python 3.x
  • Numpy
  • Scipy
  • tqdm

How to use it

Just run demo.py script or demo.ipynb.

$ python demo.py

Reference

Licence

  • MIT

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Demo script (Python) of particle swarm optimization (PSO) partly translated from SDMBIGDAT19 (MATLAB).

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