Detection and LDPC Codes Decoding for MIMO-OFDM Systems
碩士 === 國立交通大學 === 電信工程系所 === 94 === In this thesis, we study signal detection and decoding of low-density parity-check (LDPC) codes for multi-input-multi-output (MIMO) orthogonal-frequency- division-multiplexing (OFDM) systems. Three types of LDPC codes decoders are investigated, the Normalized beli...
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ndltd-TW-094NCTU54351132016-05-27T04:18:54Z http://ndltd.ncl.edu.tw/handle/70096789111289827026 Detection and LDPC Codes Decoding for MIMO-OFDM Systems MIMO-OFDM系統之偵測與低密度同位檢查碼解碼 Kuan-Jung Huang 黃冠榮 碩士 國立交通大學 電信工程系所 94 In this thesis, we study signal detection and decoding of low-density parity-check (LDPC) codes for multi-input-multi-output (MIMO) orthogonal-frequency- division-multiplexing (OFDM) systems. Three types of LDPC codes decoders are investigated, the Normalized belief-propagation (BP) based algorithm, the Normalized a-posteriori probability (APP) based algorithm, and the Layered normalized BP based algorithms. These decoding algorithms are much simpler to implement than the standard LDPC codes decoding algorithm, namely the sum-product algorithm, and can achieve good tradeoff between decoding complexity and performance. For MIMO signal detection, we consider the minimum-mean-squared error (MMSE) and a maximum a-posteriori probability (MAP) detector. The MMSE detector is combined with a soft-bit demapper to obtain soft outputs, while the MAP detector is designed to have soft outputs directly. To redue the high computational inherent in the MAP detector, we apply an efficiency algorithm called the list sphere decoding. Simulations with IEEE 802.11n and IEEE 802.16e systems show that the LDPC codes decoder can effectively improve the system performance, particularly when it combined with the MAP detector. Wen-Rong Wu 吳文榕 2006 學位論文 ; thesis 114 zh-TW |
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碩士 === 國立交通大學 === 電信工程系所 === 94 === In this thesis, we study signal detection and decoding of low-density parity-check (LDPC) codes for multi-input-multi-output (MIMO) orthogonal-frequency- division-multiplexing (OFDM) systems. Three types of LDPC codes decoders are investigated, the Normalized belief-propagation (BP) based algorithm, the Normalized a-posteriori probability (APP) based algorithm, and the Layered normalized BP based algorithms. These decoding algorithms are much simpler to implement than the standard LDPC codes decoding algorithm, namely the sum-product algorithm, and can achieve good tradeoff between decoding complexity and performance. For MIMO signal detection, we consider the minimum-mean-squared error (MMSE) and a maximum a-posteriori probability (MAP) detector. The MMSE detector is combined with a soft-bit demapper to obtain soft outputs, while the MAP detector is designed to have soft outputs directly. To redue the high computational inherent in the MAP detector, we apply an efficiency algorithm called the list sphere decoding. Simulations with IEEE 802.11n and IEEE 802.16e systems show that the LDPC codes decoder can effectively improve the system performance, particularly when it combined with the MAP detector.
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author2 |
Wen-Rong Wu |
author_facet |
Wen-Rong Wu Kuan-Jung Huang 黃冠榮 |
author |
Kuan-Jung Huang 黃冠榮 |
spellingShingle |
Kuan-Jung Huang 黃冠榮 Detection and LDPC Codes Decoding for MIMO-OFDM Systems |
author_sort |
Kuan-Jung Huang |
title |
Detection and LDPC Codes Decoding for MIMO-OFDM Systems |
title_short |
Detection and LDPC Codes Decoding for MIMO-OFDM Systems |
title_full |
Detection and LDPC Codes Decoding for MIMO-OFDM Systems |
title_fullStr |
Detection and LDPC Codes Decoding for MIMO-OFDM Systems |
title_full_unstemmed |
Detection and LDPC Codes Decoding for MIMO-OFDM Systems |
title_sort |
detection and ldpc codes decoding for mimo-ofdm systems |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/70096789111289827026 |
work_keys_str_mv |
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1718283442283610112 |