Selective detection with adaptive channel estimation for MIMO OFDM

Mohammed Bakhit Kashoob; Yuriy Zakharov

doi:10.1109/SAM.2016.7569679

Selective detection with adaptive channel estimation for MIMO OFDM

Mohammed Bakhit Kashoob, Yuriy Zakharov

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we investigate the performance of a new selective detection algorithm that is a modification of that proposed in [1]. The channel estimation used is based on adaptive model-based regularization in Multi Input Multi Output (MIMO) OFDM systems. The Basis Expansion Model (BEM) approach is employed for channel estimation. For the adaptive regularization, regularization matrices are computed for a set of uniform power delay profiles. The generalized cross-validation method is then used to select a best matrix from the precomputed set. We compare the performance of the detector implementing the
channel estimation with adaptive regularization with the performance of the detector using the Linear Minimum Mean Square Error (LMMSE) channel estimation.

Original language	English
Title of host publication	IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/SAM.2016.7569679
Publication status	Published - 10 Jul 2016

Access to Document

10.1109/SAM.2016.7569679

Cite this

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title = "Selective detection with adaptive channel estimation for MIMO OFDM",

abstract = "In this paper, we investigate the performance of a new selective detection algorithm that is a modification of that proposed in [1]. The channel estimation used is based on adaptive model-based regularization in Multi Input Multi Output (MIMO) OFDM systems. The Basis Expansion Model (BEM) approach is employed for channel estimation. For the adaptive regularization, regularization matrices are computed for a set of uniform power delay profiles. The generalized cross-validation method is then used to select a best matrix from the precomputed set. We compare the performance of the detector implementing thechannel estimation with adaptive regularization with the performance of the detector using the Linear Minimum Mean Square Error (LMMSE) channel estimation.",

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