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Literature Survey in Blind Channel Estimation for MIMO-OFDM


Affiliations
1 PET Engineering College, India
2 Dept of Electronics & Communication Engineering, PET Engineering College, India
     

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Our chief goal in this paper is to produce an analysis on blind channel estimation method based on the various approach. We address the problem of estimating a distorted signal in the presence of noise in the case that very little prior knowledge is available regarding the nature of the signal, the distortion, or the noise. This paper describes a survey on various techniques for blind channel estimation and issues related to individual operations. The proposed channel estimation approaches employs computationally simple cross-correlation operations and yields the channel up to a diagonal ambiguity. It does not require channel length information and is not sensitive to additive stationary noise. We outline basic ideas behind several developments, the assumptions and identifiably conditions required by these approaches, and the algorithm characteristics. We refer to the problem as “blind estimation without priors,” where the term “blind” captures the notion that signal estimates are obtained blindly with regard to knowledge of the distortion and interference. The proposed paper describes comparison between approaches and methods to estimate the a novel blind channel estimation algorithm for a multiple input multiple output (MIMO).

Keywords

Analysis, Blind, Estimation, Distorted, Interference, MIMO.
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  • Literature Survey in Blind Channel Estimation for MIMO-OFDM

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Authors

P. M. Pranisha
PET Engineering College, India
Y. R. Packia Dhas
Dept of Electronics & Communication Engineering, PET Engineering College, India

Abstract


Our chief goal in this paper is to produce an analysis on blind channel estimation method based on the various approach. We address the problem of estimating a distorted signal in the presence of noise in the case that very little prior knowledge is available regarding the nature of the signal, the distortion, or the noise. This paper describes a survey on various techniques for blind channel estimation and issues related to individual operations. The proposed channel estimation approaches employs computationally simple cross-correlation operations and yields the channel up to a diagonal ambiguity. It does not require channel length information and is not sensitive to additive stationary noise. We outline basic ideas behind several developments, the assumptions and identifiably conditions required by these approaches, and the algorithm characteristics. We refer to the problem as “blind estimation without priors,” where the term “blind” captures the notion that signal estimates are obtained blindly with regard to knowledge of the distortion and interference. The proposed paper describes comparison between approaches and methods to estimate the a novel blind channel estimation algorithm for a multiple input multiple output (MIMO).

Keywords


Analysis, Blind, Estimation, Distorted, Interference, MIMO.