Next Article in Journal
In Situ Analysis of Plaster Detachment by Impact Tests
Previous Article in Journal
A Versatile Silicon-Silicon Nitride Photonics Platform for Enhanced Functionalities and Applications
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Appl. Sci. 2019, 9(2), 256;

A Coherent Performance for Noncoherent Wireless Systems Using AdaBoost Technique

Electrical Engineering Department, Faculty of Engineering, Pharos University, Alexandria, Egypt
Electrical Engineering, Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt
College of Engineering and Technology, Arab Academy for Science Technology and Maritime Transport, Alexandria, Egypt
Author to whom correspondence should be addressed.
Received: 15 November 2018 / Revised: 24 December 2018 / Accepted: 6 January 2019 / Published: 11 January 2019
PDF [3559 KB, uploaded 17 January 2019]


Boosting is a machine learning approach built upon the idea of producing a highly precise prediction rule by combining many relatively weak and imprecise rules. The Adaptive Boosting (AdaBoost) algorithm was the first practical boosting algorithm. It remains one of the most broadly used and studied, with applications in many fields. In this paper, the AdaBoost algorithm is utilized to improve the bit error rate (BER) of different modulation techniques. By feeding the noisy received signal into the AdaBoost algorithm, it is able to recover the transmitted data from the noisy signal. Consequently, it reconstructs the constellation diagram of the modulation technique. This is done by removing the noise that affects and changes the signal space of the data. As a result, AdaBoost shows an improvement in the BER of coherently detected binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK). The AdaBoost is next used to improve the BER of the noncoherent detection of the used modulation techniques. The improvement appears in the form of better results of the noncoherent simulated BER in comparison to that of the theoretical noncoherent BER. Therefore, the AdaBoost algorithm is able to achieve a coherent performance for the noncoherent system. The AdaBoost is simulated for several techniques in additive white Gaussian noise (AWGN) and Rayleigh fading channels so, as to verify the improving effect of the AdaBoost algorithm. View Full-Text
Keywords: AdaBoost; BER; coherent; noncoherent; digital modulation techniques AdaBoost; BER; coherent; noncoherent; digital modulation techniques

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Gamal, H.; Ismail, N.E.; Rizk, M.R.M.; Khedr, M.E.; Aly, M.H. A Coherent Performance for Noncoherent Wireless Systems Using AdaBoost Technique. Appl. Sci. 2019, 9, 256.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top