Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
An Introduction to Spread-Spectrum Communications
An Introduction to Spread-Spectrum Communications
Multi-Carrier Digital Communications: Theory and Applications of Ofdm
Multi-Carrier Digital Communications: Theory and Applications of Ofdm
Microwave Mobile Communications
Microwave Mobile Communications
A low-complexity KL expansion-based channel estimator for OFDM systems
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
EURASIP Journal on Applied Signal Processing
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing
Analytic and Asymptotic Analysis of Bayesian CramÉr–Rao Bound for Dynamical Phase Offset Estimation
IEEE Transactions on Signal Processing
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences
IEEE Transactions on Signal Processing
Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems
IEEE Transactions on Signal Processing
Subspace methods for blind estimation of time-varying FIR channels
IEEE Transactions on Signal Processing
Iterative interference cancellation and channel estimation for mobile OFDM
IEEE Transactions on Wireless Communications
ICI mitigation for pilot-aided OFDM mobile systems
IEEE Transactions on Wireless Communications
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
IEEE Transactions on Communications
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In this paper, we consider the Bayesian Cramér-Rao bound (BCRB) for the dynamical estimation of mnltipath Rayleigh channel complex gains in data-aided (DA) and non-data-aided (NDA) OFDM systems. This bound is derived in an online and offline scenarios for time-invariant and 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 asymptotic BCRB (ABCRB) or the modified BCRB (MBCRB). We discuss, based on the theoretical and simulation results the interest of using some past and future observatIOns in terms of Doppler spread for the complex gains estimation.