Pilot-aided bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysis
MetadataShow full item record
CitationŞenol, H., Çırpan, H. A. & Panayırcı, E. (2004). Pilot-aided bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysis. Paper presented at the GLOBECOM - IEEE Global Telecommunications Conference, 4 2361-2365 Vol.4. doi:10.1109/GLOCOM.2004.1378430
This paper proposes a computationally efficient, pilot-aided minimum mean square error (MMSE) channel estimation algorithm for OFDM systems. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates uncorrelated series expansion coefficients. Moreover, optimal rank reduction is achieved in the proposed approach by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We first consider the stochastic Cramer-Rao bound and derive the closed-form expression for the random KL coefficients. We then exploit the performance of the MMSE channel estimator based on the evaluation of minimum Bayesian MSE.
SourceGLOBECOM - IEEE Global Telecommunications Conference
Showing items related by title, author, creator and subject.
This paper proposes a computationally efficient, linear minimum mean square error (MMSE) channel estimation algorithm based on KL series expansion for OFDM systems. Based on such expansion, no matrix inversion is required ...
In this paper, an optimum sequence estimation algorithm for wireless systems with Alamouti's two transmitter diversity in the presence of multipath fading is proposed. The algorithm is based on a jointly iterative channel ...
In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication systems in fading wireless channels. In this paper, we consider the problem of blind estimation of the ...