In this paper, the performance of the singleestimation (SE) and multiple-estimation (ME) is investigated in multiple-input multiple-output (MIMO) Rician flat fading channels using the traditional least squares (LS) estimator and the Bayesian minimum mean square error (MMSE) estimator. The closed form equations are obtained for mean square error (MSE) of the estimators in SE and ME cases under o...

In this paper, the Session Variability Subspace Projection (SVSP) method based on model compensation for speaker verification was improved using the Minimum Mean Square Error (MMSE) criterion. The issue of SVSP is that the speaker’s session-independent supervector is approximated by the average of all his or her session-dependent GMM-supervectors when estimating SVSP matrix. However, the error ...

The employment of multiple antennas at both transmitter and receiver is referred to as MIMO (Multiple Input Multiple Output) system. The V-BLAST (Vertically layered Bell Laboratories Layered Space-Time) algorithm is a multilayer symbol detection scheme in rich scattering wireless communication channel. The V-BLAST technique is applied to MIMO (Multiple Input Multiple output) technology. Using v...

Satellite communications and relaying techniques have been receiving the attention of the research community over the last years. This paper proposes a terrestrial to satellite communication system aided by terrestrial relay nodes to facilitate a robust, reliable, and efficient communication link and improve the spectral efficiency. In particular, this paper concentrates on evaluating the spect...

We first develop a reduced-rank minimum mean square error (MMSE) detector for direct-sequence (DS) code division multiple access (CDMA) by forcing the linear MMSE detector to lie in a signal subspace of a reduced dimension. While a reduced-rank MMSE detector has lower complexity, it cannot outperform the full-rank MMSE detector. We then concentrate on the blind reduced-rank MMSE detector which ...

Recently, the decision feedback channel estimation based on the minimum mean square error criterion (DF-MMSE-CE) using a fixed DF filter coefficient has been proposed to improve the channel estimation accuracy for DS-CDMA with frequency-domain equalization (FDE). In this paper, we propose adaptive DF (ADF)-MMSE-CE, in which the DF filter coefficient is adapted to changing channel conditions bas...

We have already developed three kinds of time-varying complex AR (TV-CAR) parameter estimation algorithms for analytic speech signal, which are based on minimizing mean square error (MMSE), Huber's robust Mestimation and Instrumental Variable (IV) method. This paper presents novel robust TV-CAR model parameter estimation algorithms on the basis of a Generalized Least Square (GLS) and Extended L...

In this paper, we have developed and implemented Minimum Mean Square Channel Estimation with Compressive Sensing (MMSE-CS) algorithm in MIMO-OFDM systems. The performance of is analyzed by comparing it Least channel estimation compressive sensing (LS-CS), (LS) (MMSE) algorithms. It observed that the MMSE-CS terms Bit Error Rate (BER) metric definitely better than LS-CS LS algorithms at par MMSE...

— The minimum mean-square error of the estimation of a signal where observed from the additive white Gaussian noise (WGN) channel's output, is analyzed. It is assumed that the channel input's signal is composed of a (normalized) sum of N narrowband, mutually independent waves. It is shown that if N goes to infinity, then for any fixed signal energy to noise energy ratio (no mater how big) both ...

MMSE-FDE can improve the transmission performance of OFDM combined with time division multiplexing (OFDM/TDM), but knowledge of the channel state information and the noise variance is required to compute the MMSE weight. In this paper, a performance evaluation of OFDM/TDM using MMSE-FDE with pilot-assisted channel estimation over a fast fading channel is presented. To improve the tracking abili...