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Multiple Kernelized Correlation Filters based Track-Before-Detect Algorithm for Tracking Weak and Extended Target in Marine Radar Systems

MIT License
This is the python implementation of the - Multiple Kernelized Correlation Filters based Track-Before-Detect Algorithm for Tracking Weak and Extended Target in Marine Radar Systems.

Introduction

We have extended MKCF to track weak target in the framework of multi-frame track-before-detect (MF-TBD). Now the source paper is under the second review.

Simulated Rayleigh and K distributed sea clutter with varied PSNR (peak signal to noise ratio) are given in the file .

Requirements

  • python - 3.9.1
  • scipy - 1.6.0
  • opencv-python - 4.5.1
  • PIL - 8.1.0

How to use the code

step 1

File 'MCF_TBD_xxx.py' implements the algorithm of MKCF-TBD.

File 'DP_TBD_Grossi_ETTsim_xxx.py' implements MSAR-TBD mentioned in the paper.

File 'DP_TBD_LELR_ETTsim_xxx.py' implements WTSA-TBD mentioned in the paper.

File 'cfar_segmentation_xxx.py' implements the CFAR and Segmentation pre-processing.

File 'MCF_GROSS_LELR_Simulation_rayleigh_xxx.py' runs the three trackers in Rayleigh distributed sea clutter.

File 'MCF_GROSS_LELR_Simulation_K_xxx.py' runs the three trackers in K distributed sea clutter.

Run the last two files will see the simulation results.

If you find these codes are useful to your research, please cite our MKCF-TBD paper [Zhou et al., 2022].

Reference:

[Zhou et al., 2022] Yi Zhou, Hang Su, Tian Shuai, Xiaoming Liu, Jidong Suo, Multiple Kernelized Correlation Filters based Track-Before-Detect Algorithm for Tracking Weak and Extended Target in Marine Radar Systems, IEEE Transactions on Aerospace and Electronic Systems, 2022.

[Zhou et al., 2019] Yi Zhou, Tian Wang, Ronghua Hu, Hang Su, Yi Liu, Xiaoming Liu, Jidong Suo, Hichem Snoussi, Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-band Marine Radar Data, IEEE Transactions on Signal Processing, vol. 67, no. 14, pp. 3676-3688, 2019.

[Grossi et al., 2013] E.Grossi, M.Lops, and L.Venturino, A novel dynamic programming algorithm for track-before-detect in radar systems, IEEE Transactions on Signal Processing, vol.61, no.10, pp.2608 -- 2619, May 2013.

[Jiang et al., 2017] Haichao Jiang, Wei Yi, Thia Kirubarajan, Lingjiang Kong, and Xiaobo Yang, Multiframe radar detection of fluctuating targets using phase information, IEEE Transactions on Aerospace and Electronic Systems, vol.53, no.2, pp.736 -- 749, April 2017.

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Use MKCF to track weak and extended target in the framework of multi-frame track-before-detect (MF-TBD)

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