In many applications, the direction-of-arrival (DOA) estimation problem is of great interest. After blind separation of the signals incident onto the receiving sensor array, the DOAs can be estimated for each source individually. Non-Gaussian signals with negative kurtosis can be automatically captured by the constant modulus (CM) array, which is the most striking blind beamforming algorithm an...

This dissertation is primarily concerned with the estimation of nonlinear communication systems that are modeled by Volterra series. The major methods used for estimating the unknown channel parameters can be classified into two main categories: training-based and blind. First, orthobasis representation and training-based identification through the respective Fourier series are investigated for...

This paper presents an efficient scheme for blind watermark estimation embedded using additive watermark embedding methods. The scheme exploits mutual independence between the host media and the embedded watermark and non-Gaussianity of the host media for watermark estimation. The proposed scheme employs the framework of independent component analysis (ICA) and poses the problem of watermark es...

Blind channel estimation for periodic sequence DS-CDMA systems can be cast into the framework of ”structured” blind estimation of multi-input / multi-output (MIMO) FIR systems, where the structure is imposed by the user’s signatures. A possible approach to tackle this problem consists in looking for a structured solution to one of the so-called ”blind” MIMO-FIR system identification techniques ...

This paper incorporates available prior knowledge of the source waveforms into the Bayesian approach to blind source separation. The source separation model is described, prior distributions are introduced to quantify available prior knowledge regarding the model parameters, the posterior distribution for the model parameters is formed, and parameter estimation is detailed. Finally, the methods...

We propose channel estimation and direct equalization techniques for transmission over doubly selective channels. The doubly selective channel is approximated using the basis expansion model (BEM). Linear and decision feedback equalizers implemented by time-varying finite impulse response (FIR) filtersmay then be used to equalize the doubly selective channel, where the time-varying FIR filters ...

© 2010 Bin Shen et al. 333 This letter proposes a non-coherent blind time-of-arrival (TOA) estimation scheme for impulse radio ultra-wideband systems. The TOA estimation is performed in two consecutive phases: the Rayleigh-quotient theorem-based coarse-signal acquisition (CSA) and the iterative-threshold-test-based fine time estimation (FTE). The proposed scheme serves in a blind manner without...

Improving the spectral efficiency is a key issue in the future wireless communication systems since the spectrum is a scarce resource. Both the number of users as well the demanded data rates are increasing all the time. Furthermore, in mobile communications the wireless link is required to be reliable even when the mobile is in a fast moving vehicle. Using MultipleInput Multiple-Output (MIMO) ...

In this paper we exploit receiver diversity for blind channel estimation for OFDM systems with cyclic prefix. The developed channel estimation algorithm has the following advantages compared with existing blind methods: a) It is data efficient — the proposed algorithm can be implemented using a single OFDM block; b) It is computationally efficient — only a single singular value decomposition is...

This paper proposes a new blind adaptive MLSE equalizer for frequency selective mobile radio channels. The proposed equalizer performs channel estimation for each survivor path of the Viterbi algorithm (VA), and restricts the number of symbol candidates for the channel estimation in order to reduce prohibitive complexity. In such channel estimation, autocorrelation matrices of the symbol candid...