/Radar_Experiment

Primary LanguageJupyter Notebook

Radar Experiment

First Directory

The First directory contains MATLAB scripts and a Jupyter Notebook focused on basic radar equations and solutions, including:

MATLAB 1

  • Dual base requirement solutions (dual_base_req_solution.m)
  • High and low pulse repetition frequency solutions (hprf_req_solution.m, lprf_req_solution.m)
  • Power-aperture product solutions (power_aperture_solution.m)
  • Direct look and radar equation solutions (radar_direct_look_solution.m, radar_eq_solution.m)
  • Radial velocity and wavelength solutions (radial_velocity_and_wavelength_solution.m)

Jupyter Notebook 1

  • Radar simulation (Radar_Simulation_1.ipynb)

Second Directory

The Second directory includes MATLAB scripts and a Jupyter Notebook for advanced radar signal processing techniques, such as:

MATLAB 2

  • Ambiguity function solutions for various waveforms (af_barker_solution.m, af_gauss_solution.m, af_lfm_solution.m, af_sp_solution.m)
  • Improvement factor calculation (improv_fac.m)
  • Linear frequency modulation compression (lfm_comp_solution.m)
  • Marcum Q-function solution (marcumsq_solution.m)
  • Optimal detection characteristics for signals with Rayleigh fading (optimal_detection_characteristics_for_signals_with_rayleigh_fading.m)
  • PCM compression solution (pcm_comp_solution.m)
  • Stretch processing of LFM signals (stretch_lfm_solution.m)

Jupyter Notebook 2

  • Radar simulation with advanced scenarios (Radar_Simulation_2.ipynb)

Getting Started

To use these scripts and notebooks, ensure you have MATLAB installed for the .m files and Jupyter Notebook for the .ipynb files. Each script is standalone and can be run independently to simulate or analyze specific radar processing techniques.

License

MIT License

Authors

  • Phillweston

Reference