A new channel estimation approach for orthogonally coded multiple input multiple output (MIMO) system is proposed. The main idea of the technique proposed in this study involves the use of specific properties of the orthogonal space-time block codes (OSTBCs) in the estimation based on the second order statistic (SOS) to estimate the channel matrix after the application of singular value decompo...

Multiple carrier-frequency offsets (CFO) arise in a distributed antenna system, where data are transmitted simultaneously from multiple antennas. In such systems the received signal contains multiple CFOs due to mismatch between the local oscillators of transmitters and receiver. This results in a time-varying rotation of the data constellation, which needs to be compensated for at the receiver...

A new proposal of blind channel estimation method for long term evoluation (LTE) based on combining advantages of denoising property of wavelet transform (WT) with blind estimation capability of independent component analysis (ICA) called wavelet denoising of ICA (WD-ICA) was presented. This new method increased the spectral efficiency compared to training based methods, and provided considerab...

In present Digital communications, the transmission effects such as multipath propagation and limited bandwidth produces linear distortion in the emitted signal, causing Inter symbol Interferences at the receiver sensor output. To enable the recovery of input symbols, channel equalization is used. Channel equalization is used to compensate the distortion effects happening in the wireless channe...

We study the maximum likelihood problem for the blind estimation of massive mmWave MIMO channels while taking into account their underlying sparse structure, the temporal shifts across antennas in the broadband regime, and ultimately one-bit quantization at the receiver. The sparsity in the angular domain is exploited as a key property to enable the unambiguous blind separation between user’s c...