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In the paper, we propose a conditionally biased linear estimator to estimate a deterministic vector h subjected to a linear transformation M and corrupted by zero-mean additive white Gaussian noise, w. We begin by drawing inspiration from the rank shaping idea of the Rank Shaped Least Squares (RSLS) estimator. We then incorporate the estimator into the Covariance Shaping Least Squares (CSLS) framework,...
In this paper, we consider limited feedback codebook-based downlink beamforming involving two remote antenna units with two antennas each transmitting to a single-antenna mobile terminal. A central unit to which the two remote antenna units are connected enables centralized joint beamforming. We consider different practical channel scenarios that may arise in distributed antenna systems and gauge...
The exact time-of-arrival (TOA) information of the multi-path signals is crucial for optimal channel estimation in vehicular OFDM systems. Super-resolution algorithms such as ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique) have been applied to retrieve this information from embedded pilots in the received OFDM symbols. These algorithms have high applicability for vehicular...
Channel estimation is vital for implementing schemes such as coherent detection and adaptive bit loading, which make OFDM an attractive PHY layer technology for vehicular wireless communications. However, knowledge of the exact time of arrival (TOA) information of the multi-path components of the vehicular wireless channel is required to achieve efficient channel estimation. Super-resolution algorithms...
Knowledge about the true temporal tap delay locations of the wireless channel allows construction of the CRLB attaining modified-Least squares or the MLS channel estimator. However, there exist several biased estimation paradigms which breach the CRLB for the unbiased counterparts, and which render the MLS inadmissible for orders of parameter estimation greater than 2.Harnessing the fact that the...
This paper addresses the problem of improved channel estimation in OFDM systems. It is a well known fact that the knowledge of the exact tap delay locations enables the construction of the modified least square [m-LS] estimator, which happens to be the best linear unbiased estimator [BLUE].Inherent frailties such as high condition number of the linear transformation matrix and the consequent high...
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