A lower complexity K best algorithm for multiple input and multiple output detection

This paper presents Multiple Input Multiple Output (MIMO) detection steps using tree search based method known as the ‘K’ best algorithm. This low complexity algorithm is based on probabilistic approach of sphere decoding with self adjustable capability depending on the levels (root, branch, leaf et...

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Main Authors: Jabir, Amjad Najim, Khatun, Sabira, Noordin, Nor Kamariah, Mohd Ali, Borhanuddin
Format: Article
Language:English
Published: Academic Journals 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23244/1/23244.pdf
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author Jabir, Amjad Najim
Khatun, Sabira
Noordin, Nor Kamariah
Mohd Ali, Borhanuddin
author_facet Jabir, Amjad Najim
Khatun, Sabira
Noordin, Nor Kamariah
Mohd Ali, Borhanuddin
author_sort Jabir, Amjad Najim
collection UPM
description This paper presents Multiple Input Multiple Output (MIMO) detection steps using tree search based method known as the ‘K’ best algorithm. This low complexity algorithm is based on probabilistic approach of sphere decoding with self adjustable capability depending on the levels (root, branch, leaf etc.) of a tree. While the tree was searched to estimate the transmitted symbols level by level, the algorithm took into account the effect of the undetected symbols in the search criteria. Simulation results showed that the proposed method reduced complexity (in terms of the average number of visited nodes) about 10% for higher (medium to high) signal to noise ratio (SNR) values without degrading the system BER performance.
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spelling upm.eprints-232442018-10-18T03:29:32Z http://psasir.upm.edu.my/id/eprint/23244/ A lower complexity K best algorithm for multiple input and multiple output detection Jabir, Amjad Najim Khatun, Sabira Noordin, Nor Kamariah Mohd Ali, Borhanuddin This paper presents Multiple Input Multiple Output (MIMO) detection steps using tree search based method known as the ‘K’ best algorithm. This low complexity algorithm is based on probabilistic approach of sphere decoding with self adjustable capability depending on the levels (root, branch, leaf etc.) of a tree. While the tree was searched to estimate the transmitted symbols level by level, the algorithm took into account the effect of the undetected symbols in the search criteria. Simulation results showed that the proposed method reduced complexity (in terms of the average number of visited nodes) about 10% for higher (medium to high) signal to noise ratio (SNR) values without degrading the system BER performance. Academic Journals 2011 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/23244/1/23244.pdf Jabir, Amjad Najim and Khatun, Sabira and Noordin, Nor Kamariah and Mohd Ali, Borhanuddin (2011) A lower complexity K best algorithm for multiple input and multiple output detection. Scientific Research and Essays, 6 (24). art. no. 2B09CE032140. pp. 5114-5121. ISSN 1992-2248 https://academicjournals.org/journal/SRE/article-abstract/2B09CE032140 10.5897/SRE10.1209
spellingShingle Jabir, Amjad Najim
Khatun, Sabira
Noordin, Nor Kamariah
Mohd Ali, Borhanuddin
A lower complexity K best algorithm for multiple input and multiple output detection
title A lower complexity K best algorithm for multiple input and multiple output detection
title_full A lower complexity K best algorithm for multiple input and multiple output detection
title_fullStr A lower complexity K best algorithm for multiple input and multiple output detection
title_full_unstemmed A lower complexity K best algorithm for multiple input and multiple output detection
title_short A lower complexity K best algorithm for multiple input and multiple output detection
title_sort lower complexity k best algorithm for multiple input and multiple output detection
url http://psasir.upm.edu.my/id/eprint/23244/1/23244.pdf
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