Sample-by-sample and block-adaptive robust constant modulus-based algorithms

Autor:	Said Elnoubi, H.A. El-Mikati, Ayman Elnashar
Rok vydání:	2012
Předmět:	Hessian matrix Adaptive algorithm Computational complexity theory Code division multiple access Detector symbols.namesake Control theory Robustness (computer science) Signal Processing symbols Electrical and Electronic Engineering Gradient descent Algorithm Multipath propagation Mathematics
Zdroj:	IET Signal Processing. 6:805-813
ISSN:	1751-9683 1751-9675
DOI:	10.1049/iet-spr.2011.0430
Popis:	In this study, a robust sample-by-sample linearly constrained constant modulus algorithm (LCCMA) and a robust adaptive block-Shanno constant modulus algorithm (BSCMA) are developed. The well-established quadratic inequality constraint approach is exploited to add robustness to the developed algorithms. The LCCMA algorithm is implemented using a fast steepest descent adaptive algorithm, whereas the BSCMA algorithm is realised using a modified Newton's algorithm without the inverse of Hessian matrix estimation. The developed algorithms are exercised to cancel the multiple access interference in a loaded direct sequence code division multiple access (DS/CDMA) system. Simulations are presented in a rich multipath environment with a severe near-far effect to evaluate the robustness of the proposed DS/CDMA detectors. Finally, a comprehensive comparative analysis between the sample-by-sample and block-adaptive constant modulus-based detectors is presented. It has been demonstrated that the developed robust BSCMA detector offers rapid convergence speed and very low computational complexity, whereas the developed robust LCCMA detector engenders about 5 dB improvement in the output signal-to-interference-plus-noise ratio over the BSCMA detector.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e8574aa4325f6ce834f8ba48092d28a4 https://doi.org/10.1049/iet-spr.2011.0430 Zobrazit plný text záznamu