Improving Of IS-CFAR Using Wavelet De-Noising For Smoothing The Noise In Reference Cells

Authors

  • Hadi Jameel Hadi Technical Computer Engineering Department, Al-Mustafa University College, Baghdad, Iraq Author
  • Waleed Khalid Abed Ali Electrical Engineering Department, Al-Mustansiriyah University, Baghdad, Iraq Author

Keywords:

Wavelet Shrinkage, IS-CFAR, reference cells, cell under test, CUT, I2S-CFAR

Abstract

Constant false alarm rate (CFAR) algorithms allow RADAR systems to set detection thresholds and isolated the target from noise or clutter to keeping the false alarm rate at certain level. In this paper a technique added to Improved Switching IS-CFAR system is used to reduce the non-homogenous effect and clutter wall, this technique is called wavelet de-noising. The detection performance of Improving IS-CFAR using wavelet de-noising (I2S-CFAR) processor is compared with the IS-CFAR detectors for homogeneous, non-homogenous and clutter wall. By using wavelet de-noising a gain in signal to noise ratio (SNR) about 2.6dB achieved for the same probability of detection.

 

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Key Dates

Published

2014-01-01

Issue

Vol. 18 No. 1 (2014): Journal of Engineering and Development

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
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How to Cite

Jameel Hadi, H. ., & Khalid Abed Ali, W. . (2014). Improving Of IS-CFAR Using Wavelet De-Noising For Smoothing The Noise In Reference Cells. Journal of Engineering and Sustainable Development, 18(1), 164-178. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/858

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