Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
An Introduction to Spread-Spectrum Communications
An Introduction to Spread-Spectrum Communications
Microwave Mobile Communications
Microwave Mobile Communications
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing
Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems
IEEE Transactions on Signal Processing
ICI mitigation for pilot-aided OFDM mobile systems
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
In this paper, we consider the Bayesian Cramer-Rao bound (BCRB) for the dynamical estimation of multi-path Rayleigh channel complex gains in data-aided (DA) and non-data-aided (NDA) OFDM systems. This bound is derived in an on-line and off-line high Doppler scenarios for time-varying complex gains within one OFDM symbol, assuming the availability of prior information. In NDA context, whereas this true BCRB is hard to evaluate, we present a closed-form expression of a BCRB, i.e., the Modified BCRB (MBCRB). We discuss, based on the theoretical and simulation results, the benefit of using the a priori information and, the past and the future observations for the complex gains estimation.