The ubiquitous signal processing : Applications to communications, spectral analysis and array processing

• This dissertation is concerned with statistical signal processing and its applications. The thesis consists of three parts: I) applications to wireless communications, II) applications to spectral analysis and III) applications to array processing.In part I, an iterative receiver for interference suppression in a system using orthogonal space-time block codes (STBC) is derived. An extension of STBC to frequency-selective fading is developed and receiver structures are devised. Furthermore, the orthogonal frequency division multiplexing (OFDM) technique is discussed. New algorithms for synchronization and channel estimation in an OFDM system are proposed and the optimal design of training sequences in an OFDM system with transmit diversity is discussed.In part II, computationally efficient implementations of nonparametric spectral estimators are derived. A new high-resolution nonparametric spectral estimation method is devised and analyzed. Furthermore, a novel spectral analysis method for both one and two-dimensional discontinuously sampled data is developed.In part III, a new high-resolution finding technique is developed for the case when the observed data contain missing samples. Furthermore, Cramer-Rao bounds for direction estimation are examined under deterministic and stochastic data models, respectively. Finally, an algorithm for blind source separation is discussed and analyzed.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

digital signal processing

array processing

spectral analysis

incomplete data

wireless communications

space-time coding

synthetic aperture radar imaging

signal separation

estimation

detection

Signal processing

Signalbehandling

Signal Processing

Signalbehandling

Publication and Content Type

vet (subject category)

dok (subject category)