Algorithms for blind equalization based on relative gradient and toeplitz constraints / Zhengwei Wu.

Format:

Book

Manuscript

Thesis/Dissertation

Author/Creator:

Wu, Zhengwei, author.

Contributor:

Kassam, Saleem A., 1949- degree supervisor.

Venkatesh, Santosh S., 1959- degree committee member.

Koivunen, Visa, degree committee member.

Sarkar, Saswati, degree committee member.

University of Pennsylvania. Department of Electrical and Systems Engineering, degree granting institution.

Language:

English

Subjects (All):

Penn dissertations--Electrical and Systems Engineering.

Electrical and Systems Engineering--Penn dissertations.

Local Subjects:

Penn dissertations--Electrical and Systems Engineering.

Electrical and Systems Engineering--Penn dissertations.

Physical Description:

xviii, 226 leaves : illustrations ; 29 cm

Production:

[Philadelphia, Pennsylvania] : University of Pennsylvania, 2016.

Summary:

Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal received through a channel in the presence of additive noise and channel distortion, when the channel response is unknown and a training sequence is not accessible. To achieve BE, statistical or constellation properties of the source symbols are exploited. In BE algorithms, two main concerns are convergence speed and computational complexity.

In this dissertation, we explore the application of relative gradient for equalizer adaptation with a structure constraint on the equalizer matrix, for fast convergence without excessive computational complexity. We model blind equalization with symbol-rate sampling as a blind source separation (BSS) problem and study two single-carrier transmission schemes, specifically block transmission with guard intervals and continuous transmission. Under either scheme, blind equalization can be achieved using independent component analysis (ICA) algorithms with a Toeplitz or circulant constraint on the structure of the separating matrix. We also develop relative gradient versions of the widely used Bussgang-type algorithms. Processing the equalizer outputs in sliding blocks, we are able to use the relative gradient for adaptation of the Toeplitz constrained equalizer matrix. The use of relative gradient makes the Bussgang condition appear explicitly in the matrix adaptation and speeds up convergence.

For the ICA-based and Bussgang-type algorithms with relative gradient and matrix structure constraints, we simplify the matrix adaptations to obtain equivalent equalizer vector adaptations for reduced computational cost. Efficient implementations with fast Fourier transform, and approximation schemes for the cross-correlation terms used in the adaptation, are shown to further reduce computational cost.

We also consider the use of a relative gradient algorithm for channel shortening in orthogonal frequency division multiplexing (OFDM) systems. The redundancy of the cyclic prefix symbols is used to shorten a channel with a long impulse response. We show interesting preliminary results for a shortening algorithm based on relative gradient.

Notes:

Ph. D. University of Pennsylvania 2016.

Department: Electrical and Systems Engineering.

Supervisor: Saleem A. Kassam.

Includes bibliographical references.

OCLC:

970618229