Development of Optimal Thresholding Technique for Shape and Size Detection for Through the wall Radar Imaging System

  • Akhilendra Pratap Singh Indian Institute of Technology, BHU, Varanasi
  • Smrity Dwivedi Indian Institute of Technology, BHU, Varanasi
  • Pradeep Kumar Jain Indian Institute of Technology, BHU, Varanasi
Keywords: Through wall imaging, Shape and size detection, Curve fitting, Statics-based thresholding, TWR imaging system

Abstract

Through-the-wall radar (TWR) images of stationary target behind a wall are subject to strong stationary and non-stationary clutter which obscures the target position and size in the image. Stationary clutters are present due to strong reflection from the wall and non-stationary clutter occurs due to multipath, noise, etc. A lot of work has been reported for mitigating stationary clutter successfully for various real scenarios. However, for mitigating nonstationary clutter various authors have reported their work in this field but any concrete result has not been reported so far. Hence, there is a need for an optimal methodology to mitigate non-stationary clutter in TWR images for achieving a high-quality image representing the target position, shape and its size. Till now it is difficult to achieve shape detection of the target from the TWR system. Therefore, in this paper, a novel optimal thresholding technique is proposed to mitigating non-stationary clutter for further enhancement on shape detection of a target using curve fitting and genetic algorithm. The proposed methodology gives a satisfactory result and can prove to be a powerful technique for minimising clutter.

Author Biographies

Akhilendra Pratap Singh, Indian Institute of Technology, BHU, Varanasi

Mr. Akhilendra Pratap Singh received MTech (Digital Communication) from ABV Indian Institute of Information
Technology and Management, Gwalior, M.P, India. Presently, he is pursuing PhD at Department of Electronics, Indian Institute of Technology (Banaras Hindu University), Varanasi, India. He works in the area of through-the-wall imaging radar.
Contribution in the current study: He conceived the idea of presented research work and developed the algorithm, performed experiments to acquire the data, carried out analysis and interpretation of the data and finally drafted the manuscript.

Smrity Dwivedi, Indian Institute of Technology, BHU, Varanasi

Dr Smrity Dwivedi received PhD in electronics engineering from Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Presently, she is an Assistant Professor in Department of Electronics, Indian Institute of Technology (Banaras Hindu University), Varanasi, India. She has more than 20 paper to her credit published at various global platforms. Her research interest includes high power microwave devices and circuits.
Contribution in the current study: She critically revised the manuscript.

Pradeep Kumar Jain, Indian Institute of Technology, BHU, Varanasi

Dr Pradip Kumar Jain received PhD in electronics engineering from Institute of Technology, Banaras Hindu University (now IIT (BHU)), Varanasi, India. Presently, he is Director of National Institute of Technology, Patna. He has vast experience of R&D in the area of RF and Communication engineering, microwave/ millimeter wave devices and circuits, high power microwave electron-beam devices. He has been actively engaged in collaborative research with national laboratories in this area.
Contribution in the current study: He supervised the present research work and helped in manuscript drafting.

Published
2019-12-16
How to Cite
Singh, A., Dwivedi, S., & Jain, P. (2019). Development of Optimal Thresholding Technique for Shape and Size Detection for Through the wall Radar Imaging System. Defence Science Journal, 69(6), 564-570. https://doi.org/10.14429/dsj.69.14574
Section
Electronics & Communication Systems