This paper proposes a new method for the estimation of the bit-error-rate (BER) in the output of blind equalizers, which could be applied for telecommunication system fault management. Trends in radio communications are discussed, which motivate the focus on blind adaptation, and a simple test for assessing decision errors in the output of the decision device is derived. Simulations validate th...

This paper considers the problem of blind demodulation of multiuser information symbols in a direct-sequence code-division multiple access (DSCDMA) environment. Channel estimation and symbol detection in presence of both multiple access interference (MAI) and intersymbol interference (ISI) is carried out with second order statistics methods from the received data. This problem is similar to Dir...

1 : In this paper, we present an approach to blind estimation of non-minimum phase ARMA models using fourth order statistics. The algorithm follows a Residual Time Series (RTS) procedure, which sequentially identiies the AR and MA parts. In step 1 of the RTS concept, the AR estimation is geared to deliver the shortest impulse response of the overall system, so that a new fast approach to MA sys...

This paper proposes an adaptive microphone array using blind deconvolution. The method realizes an signal enhancement based on the combination with beamforming using blind deconvolution, synchronized summation and DSA method. The proposed method improves a performance of estimation by the iterative operation of blind deconvolution using a cost-function base on the coherency function.

In this paper, various channel estimation techniques for iterative receivers are compared for OFDMIDMA system. Pilot –assisted based, semi-blind estimation, blind estimation and Decision –directed channel estimations techniques are considered and there comparisons are presented. The considered estimation techniques differ in terms of complexity, as well as performance. The main contribution of ...

The problem of blind channel estimation under space-time block coded (STBC) transmissions is addressed. Firstly, a blind channel estimation criterion that generalizes previous works is proposed. The technique is solely based on second-order statistics (SOS) and if the channel is identifiable, the estimate is obtained as the main eigenvector of a generalized eigenvalue problem (GEV). Secondly, a...

The presence of noise and small scale structures usually leads to large kernel estimation errors in blind image deblurring empirically, if not a total failure. We present a scale space perspective on blind deblurring algorithms, and introduce a cascaded scale space formulation for blind deblurring. This new formulation suggests a natural approach robust to noise and small scale structures throu...

new blind estimation of MIMO channels using HGA was proposed for the frequency selective channel. By exploiting the output statistics, an objective function that coming from blind estimation of MIMO channels based on the subspace could be obtained. Then the fitness function based on the objective function is proposed for optimization by a hybrid genetic algorithm (HGA). We have proved this meth...

This paper proposes a new blind channel estimation method for orthogonal frequency division multiplexing (OFDM) systems. The algorithm makes use of the redundancy introduced by the cyclic prefix to identify the channel based on a subspace approach. Thus, the proposed method does not require any modification of the transmitter and applies to most existing OFDM systems. Semi-blind procedures taki...

The task of channel estimation in a frequencyselective multi-input multi-output (MIMO) system presents a real challenge for conventional training-based solutions, since the huge number of channel coefficients demand a huge number of training symbols, which will significantly reduce the system bandwidth-efficiency. As a possible countermeasure, we propose a semi-blind channel estimation algorith...