Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System
نویسندگان
چکیده
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 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 کاملChannel Estimation in Massive MIMO Systems
We introduce novel blind and semi-blind channel estimation methods for cellular time-division duplexing systems with a large number of antennas at each base station. The methods are based on the maximum a-posteriori principle given a prior for the distribution of the channel vectors and the received signals from the uplink training and data phases. Contrary to the state-of-the-art massive MIMO ...
متن کاملSparse Channel Estimation for Massive MIMO System Based on Dirichlet Process and Combined Message Passing
This paper investigate the problem of estimating sparse channels in massive MIMO systems. Most wireless channel are sparse with large delay spread, while some channels can be observed have common support within a certain area of the antenna array. This common support property is attractive when it comes to the estimation of large number of channels in massive MIMO systems. In this paper, we pro...
متن کاملTransmit Signal Design for MIMO Radar and Massive MIMO Channel Estimation
Duly, Andrew Jason Ph.D., Purdue University, December 2013. Transmit Signal Design for MIMO Radar and Massive MIMO Channel Estimation. Major Professors: David J. Love and James V. Krogmeier. The widespread availability of antenna arrays and the capability to independently control signal emissions from each antenna make transmit signal design increasingly important for radar and wireless communi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2017
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2017/8107825