Iterative Sequential Estimation for Multiple Structured Signals

Multiple Delays Estimation for Chirp Signals Using Structured Total Least Squares

We employ the Structured Total Least Squares (STLS) framework for estimating the delays associated with multiple reflections of a chirp signal. The classical methods of using matched-filter correlation processing, originally aimed at estimating the delay of a single reflection, have poor resolution and accuracy in the presence of multiple, closely spaced reflections with overlapping correlation...

n-Iterative Exponential Forgetting Factor for EEG Signals Parameter Estimation

Electroencephalograms (EEG) signals are of interest because of their relationship with physiological activities, allowing a description of motion, speaking, or thinking. Important research has been developed to take advantage of EEG using classification or predictor algorithms based on parameters that help to describe the signal behavior. Thus, great importance should be taken to feature extrac...

Iterative Channel Estimation for Frequency-Domain Equalization of DSSS Signals

As the channel frequency selectivity becomes severer, the bit error rate (BER) performance of direct sequence spread spectrum (DSSS) signal transmission with rake combining degrades due to an increasing inter-path interference (IPI). Frequency-domain equalization (FDE) can replace rake combining with much improved BER performance in a severe frequency-selective fading channel. For FDE, accurate...

An iterative approach for estimation of efficiency by weighted distance

Soft-iterative estimation of structured channels: performance analysis and comparison

In this paper we propose a new soft-iterative method for the estimation of block-fading channels based on multi-block (MB) processing. The MB estimator exploits the invariance of the subspace spanned by the multipath components of the channel and it estimates the channel subspace by sample averaging over a frame of blocks. Here the MB method is extended to incorporate soft information, which is...