We consider a blind estimation of the vector channel for systems with receive diversity. The objective of this paper is to reduce the complexity of the conventional subspace-based method in vector channel estimation. A reduced-complexity estimation scheme is proposed, which is based on selecting a column of the covariance matrix of the received signal vectors. The complexity and performance of ...

A new subspace-based blind method for channel estimation in nearly saturated downlink multicarrier code division multiple access systems is proposed. In this method, the authors exploit the subspace structure of the received signal to estimate the channel directly in the frequency domain irrespective of the length of the FIR Q1 channel, thus allowing operation in nearly saturated systems (numbe...

In this paper, to achieve high-quality speech enhancement, we introduce the generalized minimum mean-square error shorttime spectral amplitude estimator with a new blind prior estimation of the speech probability density function (p.d.f.). To deal with various types of speech signals with different p.d.f., we propose an algorithm of speech kurtosis estimation based on moment-cumulant transforma...

In this paper, a blind receiving system for Multiple Input Multiple Output (MIMO) channel estimation of Code Division Multiple Access (CDMA) system based on Independent Component Analysis (ICA) is proposed. The proposed receiving system exploits the statistical independence of the received signals in order to blind wireless channel estimation processes. The MIMO channel matrix is estimated by g...

A problem of a blind stochastic SNR estimator and a principle of SNR estimation combining a blind estimator and decision-aided estimator are presented. Signal and noise can be detected from the received signal by a decision depending on a decision threshold that is made available by using the second and fourth-order moments of the received signal. Subsequently, the SNR is computed from the dete...

A blind space–time joint channel and direction of arrival (DoA) estimation method is proposed for DS-CDMA systems. The new method employs a linear antenna array and requires only the signature sequence and timing of the desired user to blindly estimate the channel and the DoA parameters. Two blind algorithms that exploit antenna arrays are also proposed for enhancing the channel estimates. Simu...

This paper introduces a novel blind carrier phase recovery estimator for general 2π/M-rotationally symmetric constellations. This estimation method is a generalization of the non-data-aided (NDA) nonlinear Phase Metric Method (PMM) estimator already designed for general quadrature amplitude constellations. This unbiased estimator is seen here as a fourth order PMM then generalized to M th order...

Blind adaptive space-time processing techniques are developed for both uplink reception and downlink transmission in multiuser TDD DS-CDMA systems to overcome multipath fading effect and multiple access interference. The system consists of a spacetime array, a decorrelator, and a weight-adapter. For uplink reception, a hybrid combination of constant modulus algorithm and decisiondirected algori...

The problem of blind channel estimation for multiple single-antenna orthogonal frequency division multiplexing (OFDM) systems coexisting in the same band is considered. Based on the previous work on linear precoding for blind channel estimation for OFDM systems, a new precoder design based on zero-hole matrices is proposed and optimal design is derived. Numerical results show the validity of ou...

A blind adaptive scheme is proposed for joint maximum likelihood (ML) channel estimation and data detection of singleinput multiple-output (SIMO) systems. The joint ML optimisation over channel and data is decomposed into an iterative optimisation loop. An efficient global optimisation algorithm called the repeated weighted boosting search is employed at the upper level to optimally identify th...