Improving Of IS-CFAR Using Wavelet De-Noising For Smoothing The Noise In Reference Cells
الكلمات المفتاحية:
Wavelet Shrinkage، IS-CFAR، reference cells، cell under test، CUT، I2S-CFARالملخص
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.
التنزيلات
Key Dates
منشور
2014-01-01
إصدار
القسم
Articles
الرخصة
هذا العمل مرخص بموجب 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.
Creative Commons-Attribution (BY) 
كيفية الاقتباس
Jameel Hadi, H. ., & Khalid Abed Ali, W. . (2014). Improving Of IS-CFAR Using Wavelet De-Noising For Smoothing The Noise In Reference Cells. مجلة الهندسة والتنمية المستدامة, 18(1), 164-178. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/858
