2002 International Telecommunications Symposium

"This work addresses the application of blind adaptive antenna arrays for GPS in order to achieve interference cancellation, by means of the minimization of the Signal-to-Interference Ratio (SIR), which enables more accurate estimation for the user position. Two structures for adaptive antenna array are investigated, using the blind generalized constant...

"A generalisation of the Shannon complex wavelet is introduced, which is related to raised cosine filters. This approach is used to derive a new family of orthogonal complex wavelets based on the Nyquist criterion for Intersymbolic Interference (ISI) elimination. An orthogonal Multiresolution Analysis (MRA) is presented, showing that the roll-off...

"In this paper we investigate the use of adaptive minimum bit error rate (MBER) Gradient-Newton algorithms for channel equalisation applications. The proposed algorithms approximate the bit error rate (BER) from training data using linear transversal and decision feedback (DFE) equaliser structures. A comparative analysis of linear and DFE equalisers,...

"In this paper we investigate the use of an approximate minimum bit error rate (MBER) approach to channel equalisation using recurrent neural networks (RNN). We examine a stochastic gradient adaptive algorithm for approximating the MBER from training data using RNN structures. A comparative analysis of linear equalisers and neural equalisers, employing...

"In this paper we investigate the use of adap- tive minimum bit error rate (MBER) algorithms for channel equalisation in Discrete Multitone (DMT) systems. These algorithms approximate the bit error rate (BER) from training data using linear equaliser structures operating in the frequency domain. A comparative analysis of DMT systems with linear...

"We present a novel adaptive algorithm for blind equalization. It is based on a tuner used in adaptive control that sets the second derivative of the parameter estimates and minimizes the cost function introduced by Godard. Based on simulation results we present a comparison with the Constant Modulus and the Shalvi-Weinstein algorithms. Both the...

"We present in this paper a new algorithm for target tracking in cluttered image sequences using the bootstrap particle filter. The proposed algorithm incorporates the models for target signature, target motion and clutter correlation and allows for direct tracking from the image sequence. Monte Carlo simulation results show that the bootstrap tracker...

"In this paper, we present mean-squared convergence analysis for the partial-update normalized least-mean square (PU-NLMS) algorithm with closed-form expressions for the case of white input signals. The analysis used order statistics and the formulas presented here are more accurate than the ones found in the literature for the PU-NLMS algorithm....

"In subspace-based blind linear multiuser detection we may use a subspace tracking algorithm and a blind method for estimating the composite code vector, which is the convolution of the user code and the multipath channel. In this paper we propose two subspace tracking algorithms based on the Power method, one with O(N^2 L) and the other with O(NL)...

"We propose an algebraic approach to the blind single-input multiple-outputs deconvolution problem. The approach uses an input-output system identification, and then solves directly the Bezout equation which underlies the deconvolution problem. Important enough, the proposed approach allows one to solve the Bezout identity based on the single knowledge...