EM-Based Channel Estimation in OFDM Systems with Phase Noise

In this paper, we present a general method for rank-constrained optimization. We use an iterative convex optimization procedure where it is possible to include any extra convex constraints. The proposed approach has potential application in several areas. We focus on the problem of Factor Analysis. In this case, our approach provides sufficient flexibility to handle correlated errors. The benefits of the method is demonstrated via a simulation study.

show abstract

“…), Channel Estimation (see e.g. (Carvajal et al, 2011)) and the computation of principal components estimates (see e.g. (Roweis, 1998)).…”

Section: Existing Methodsmentioning

confidence: 99%

A Rank-Constrained Optimization approach: Application to Factor Analysis

Delgado

Agüero

Goodwin

2014

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…The EM algorithm has been used to identify different classes of dynamic systems, such as, continuous time systems using sampled-data [25], finite impulse response systems using quantized systems [26], state-space systems using incomplete data [27], channel estimation in telecommunications [28], bilinear state-space systems [29], and non-linear state-space systems [30].…”

Section: Em-based Estimationmentioning

confidence: 99%

A novel approach to model error modelling using the expectation-maximization algorithm

Delgado

Goodwin

Carvajal

et al. 2012

2012 IEEE 51st IEEE Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

In this paper we develop a novel approach to model error modelling. There are natural links to others recently developed ideas. However, here we make several key departures, namely (i) we focus on relative errors; (ii) we use a broad class of model error description which includes, inter alia, the earlier idea of stochastic embedding; (iii) we estimate both, the nominal model and undermodelling simultaneously using the Expectation-Maximization (EM) algorithm. Simulation studies illustrate the performance of the proposed technique.

show abstract

Cross-layer information based routing protocol for Power Line communication

Bai

et al. 2016

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

View full text Add to dashboard Cite

EM-Based Channel Estimation in OFDM Systems with Phase Noise

Cited by 4 publications

References 22 publications

A Rank-Constrained Optimization approach: Application to Factor Analysis

A Rank-Constrained Optimization approach: Application to Factor Analysis

A novel approach to model error modelling using the expectation-maximization algorithm

Cross-layer information based routing protocol for Power Line communication

Contact Info

Product

Resources

About