The performance of multiuser adaptive minimum mean square error (MMSE) receiver combined with multiple antennas is investigated for wideband code division multiple access systems (W-CDMA) in multipath fading channels. In the adaptive implementation of the receiver, performance of various algorithms like least mean square (LMS), normalized least mean square (NLMS), recursive least square (RLS) a...

In this paper, frequency domain techniques are used to derive the tracking properties of the recursive least squares (RLS) algorithm applied to an adaptive antenna array in a mobile fading environment, expanding the use of such frequency domain approaches for nonstationary RLS tracking to the interference canceling problem that characterizes the use of antenna arrays in mobile wireless communic...

In this paper new parallel structures are proposed for joint data and channel estimation over frequency selective Rayleigh fading channels. Maximum Likelihood Sequence Estimation (MLSE) is implemented using the per-survivor processing (PSP) method [1]. The Kalman filter and the Recursive Least Squares (RLS) algorithm are considered as estimation methods. A Square-root implementation of the Kalm...

In this paper, a robust M-estimate adaptive filter for impulse noise suppression is proposed. The objective function used is based on a robust M-estimate. It has the ability to ignore or down weight large signal error when certain thresholds are exceeded. A systematic method for estimating such thresholds is also proposed. An advantage of the proposed method is that its solution is governed by ...

This paper presents the comparison between different adaptive algorithms usages in acoustic echo cancellation. This comparison includes the cancellation of echo generated in room using different adaptive algorithms Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Improved Proportionate Normalized Least Mean Square (IPNLMS) and Recursive Least Squares (RLS) Algorithms. The goal of t...

Large-scale voltage collapse incidences, which result in power outages over large regions and extensive economic losses, are presently common occurrences worldwide. To avoid operate more safely reliably, it is necessary to analyze the security operation region (VSOR) of systems, has become a topic increasing interest lately. In this paper, novel improved particle swarm optimization recursive le...

Cambridge, MA 02139 II. RECURSIVE LEAST SQUARES SIGNAL ANALYSIS The problem of locating the position of individual pulses within a group of overlapping pulses can be simplified by preprocessing the date to reduce the overlap. This paper proposes the use of Recursive Least Squares (RLS) prediction for this purpose. The pulse compression performance of two signals derived from the RLS algorithm i...

The least squares (LS) minimization problem constitutes the core of many real-time signal processing problems, such as adaptive filtering, system identification and adaptive beamforming. Recently efficient implementations of the recursive least squares (IUS) algorithm and the constrained recursive least squares (CRLS) algorithm based on the numerically stable QR decomposition (QRD) have been of...

In this report, the steady state mea.n square prediction error is derived for the fixed point RLS (Recursive Least Squares) algorithm, both for the exponentially windowed RLS (forgetting factor, , < 1), and the prewindowed growing memory RLS (, == 1) for correlated inputs. It is shown that signal correlation enhances the excess error due to additive noise and roundoff noise in the desired signa...