A Review of complexity method for wireless Channel Estimation using a BEM

Abstract

Our channel estimation method differs in its ability to estimate fast time-varying wireless channel since pilot tones are inserted into each OFDM block, and in its explicit relation with space-frequency code design which can benefit the channel estimation in return. Then the simple LS algorithm can be used to solve the estimation problem, provided that the noise term in the quasi-linear form is Gaussian. The matrix representation of the signal model of MIMO-OFDM systems, which clearly describes the relation of signals in frequency domain and time domain and expressing operations like adding CP and removing CP as matrix product. In this paper, the ML algorithm can be directly utilized to estimate the target location since the probability density function of the observation data is known with our assumption. We proposed a low complexity algorithm for equalization, which uses the estimated BEM coefficients directly without creating the channel matrix and equalization method require O (K log K) in operations and O (K) in memory.

Authors and Affiliations

Prikshit Aggarwal, Pushparaj Pal

Keywords

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  • EP ID EP19280
  • DOI -
  • Views 270
  • Downloads 4

How To Cite

Prikshit Aggarwal, Pushparaj Pal (2014). A Review of complexity method for wireless Channel Estimation using a BEM. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(12), -. https://europub.co.uk/articles/-A-19280