MIMO Channel Estimation with Dimension Reduction
نویسندگان
چکیده
The number of channel estimates that have to be estimated in Multiple-Input Multiple-Output (MIMO) system is in general much larger, than in a single antenna communication scheme. This leads to lower signal to noise ratios (SNR) of the channel estimates if a constant pilot power independent from the number of transmit antennas is assumed. The use of long-term spatial channel characteristics can improve channel estimation for MIMO wireless systems. Separating the signal and the noise subspace followed by a dimension reduction can significantly reduce additive noise on channel estimates. This leads to improved channel estimation, especially for MIMO systems with high numbers of antennas, and to lower pilot power requirements.
منابع مشابه
Semi-Blind Channel Estimation based on subspace modeling for Multi-user Massive MIMO system
Channel estimation is an essential task to fully exploit the advantages of the massive MIMO systems. In this paper, we propose a semi-blind downlink channel estimation method for massive MIMO system. We suggest a new modeling for the channel matrix subspace. Based on the low-rankness property, we have prposed an algorithm to estimate the channel matrix subspace. In the next step, using o...
متن کاملSpatially correlated channel estimation based on block iterative support detection for large-scale MIMO
Downlink channel estimation with low pilot overhead is an important and challenging problem in large-scale MIMO systems due to the substantially increased MIMO channel dimension. In this letter, we propose a block iterative support detection (block-ISD) based algorithm for downlink channel estimation to reduce the pilot overhead, which is achieved by fully exploiting the block sparsity inherent...
متن کاملOn the relaxed maximum-likelihood blind MIMO channel estimation for orthogonal space-time block codes
This paper concerns the maximum-likelihood channel estimation for MIMO systems with orthogonal space-time block codes when the finite alphabet constraint of the signal constellation is relaxed. We study the estimation subspace for the channel coefficients that this approach generates. We provide an algebraic characterisation of this subspace which turns the optimization problem into a purely al...
متن کاملComposite Channel Estimation in Massive MIMO Systems
We consider a multiuser (MU) multiple-input multiple-output (MIMO) time-division duplexing (TDD) system in which the base station (BS) is equipped with a large number of antennas for communicating with single-antenna mobile users. In such a system the BS has to estimate the channel state information (CSI) that includes large-scale fading coefficients (LSFCs) and small-scale fading coefficients ...
متن کاملSparse Mimo Ofdm Channel Estimation and Papr Reduction Using Generalized Inverse Technique
MIMO-OFDM systems provide high spectral efficiency for wireless communication systems. However, they have a major drawback of high PAPR which results in inefficient use of a power amplifier and also improper detections. Now a days, in wireless communication systems, channel estimation is mandatory for higher data rates with low bit error rates. For reducing burden on system the channel estimati...
متن کامل