Robust estimation of signal and interference power in rayleigh fading channels

Abstract

This paper deals with the problem of signal and interference power estimation in communication over wireless fading channels. In this work, a new class of estimators for joint estimation of signal and Gaussian interference variance is proposed. Our study includes developing a unified framework that covers the design and performance analysis of the estimators. The estimators addressed in this paper, namely maximum likelihood, minimum variance unbiased, best linear unbiased and sub-space estimators, require knowledge of eigenvectors and eigenvalues of the channel autocorrelation matrix. To relax this requirement, a tracking mechanism for least-squares estimation of the channel eigen-space is devised. Several aspects of the statistical characteristics of the resulting estimators are presented. As a salient feature, the proposed methods are suitably applicable to estimation of signal and interference power in wideband code division multiple access (WCDMA) used in third generation (3G) mobile wireless communication systems.Index Terms-Signal and interference estimation, SNR estimation, sufficient statistics, minimum variance unbiased estimation, maximum likelihood estimation, best linear unbiased estimator, Wideband CDMA systems, subspace tracking.

Soft information assisted space-time multiuser detection for highly loaded CDMA

“…For simplicity, the transmit power is assumed to be known or has been estimated at the receiver, e.g. the maximum likelihood estimator in [10]. In case the power is not available at the receiver, the blind detection schemes such as the Monte Carlo Bayesian multiuser detection [11] can be employed.…”