performance analysis of SVM -type per tone equalizer using blind and radius directed algorithms for OFDM systems

سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 810

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شناسه ملی سند علمی:

JR_JIST-1-2_001

تاریخ نمایه سازی: 21 فروردین 1393

چکیده مقاله:

In this paper, we present Support Vector Machine (SVM)-based blind per tone equalization for OFDM systems. Blind per tone equalization using Constant Modulus Algorithm (CMA) and Multi-ModulusAlgorithm (MMA) are used as the comparison benchmark. The SVM-based cost function utilizes a CMAlikeerror function and the solution is obtained by means of an Iterative Re-Weighted Least Squares Algorithm (IRWLS). Moreover, like CMA, the error function allows to extend the method to multilevel modulations. In this case, a dual mode algorithm is proposed. Dual mode equalization techniques arecommonly used in communication systems working with multilevel signals. Practical blind algorithms for multilevel modulation are able to open the eye of the constellation, but they usually exhibit a high residual error. In a dual mode scheme, once the eye is opened by the blind algorithm, the system switches toanother algorithm, which is able to obtain a lower residual error under a suitable initial ISI level.Simulation experiments show that the performance of blind per tone equalization using support vector machine has better than blind per tone equalization using CMA and MMA, from viewpoint of average Bit- Error Rate (BER).

کلیدواژه ها:

Constant Modulus Algorithm (CMA) ، Multi-Modulus Algorithm (MMA) ، Support Vector Machine (SVM) ، Orthogonal Frequency Division Multiplexing (OFDM

نویسندگان

Babak Haji Bagher Naeeni

Communication, Ph.D, Electrical Engineering, IRIB University

Hamidreza Amindavar

Communication, Ph.D, Electrical Engineering, Amirkabir University of Technology