Cited 0 time in webofscience Cited 0 time in scopus

Iterative MIMO Detection Based on Dimen-sion Reduction Soft Demodulation

Title
Iterative MIMO Detection Based on Dimen-sion Reduction Soft Demodulation
Translated Title
차원감소 소프트복조 기반의 다중 안테나 반복검출 기법
Authors
Shin, Sang Sik
DGIST Authors
Shin, Sang Sik; Choi, Ji Woong; Choi, Hong Soo
Advisor(s)
Choi, Ji Woong
Co-Advisor(s)
Choi, Hong Soo
Issue Date
2013
Available Date
2016-05-18
Degree Date
2013. 2
Type
Thesis
Keywords
Dimension reduction soft demodulation. Iterative detection and decoding. All ordering successive interference cancellationSlicing MAP criterion반복 검출모든순서순차삭제기법낮은차수검출기법최대사후확률최대우도
Abstract
Spatial multiplexing (SM) multi-input multi-output (MIMO) technology is con-sidered as core advanced communication technology to achieve more capacity. Although it guarantees more capacity, it gives huge burden on the receiver side to detect each stream which is transmitted from each transmit antenna. The main reason is inter-stream interference caused from streams of other antennas. In this thesis, to reduce inter-stream interference effects we propose dimension reduction soft demodulation (DRSD) with maximum a posteriori (MAP) for iterative detec-tion and decoding (IDD). The DRSD with MAP employs all ordering successive interference cancellation (AOSIC) with slicing MAP criterion for hard detection and also adding one more candidate for AOSIC to improve performance. DRSD can provide low complexity to separate hard streams and soft streams and slicing MAP criterion also provides similar performance to conventional IDD algorithms such as the soft-input soft-output single tree-search based on sphere decoding (SISO-STS-SD) which has better performance than others. Our proposed algorithm can reduce the complexity of iterative soft MIMO detection and give fixed complexity on the variety of SNR. Moreover, receiver performance of pro-posed scheme nearly approaches the performance of SISO-STS-SD. ⓒ 2013 DGIST
Table Of Contents
Ⅰ. INTRODUCTION 1 -- 1.1 Overview of this study 1 -- 1.2 Notation 2 -- Ⅱ. MIMO SPATIAL MULTIPLEXING (SM) TECHNOLOGIES BACKGROUNDS 3 -- 2.1 System model 3 -- 2.2 SM detection and decoding 4 -- 2.3 Non-iterative detection and decoding 5 -- 2.3.1 Hard detection receivers 5 -- 2.3.2 Soft detection receivers 7 -- 2.4 Iterative detection and decoding (IDD) 8 -- Ⅲ. PROPOSED IDD SCHEMES 11 -- 3.1 Dimension reduction soft demodulation (DRSD) with MAP 11 -- 3.1.1 AOSIC with slicing MAP criterion 13 -- 3.1.2 Adding the one more candidate 16 -- Ⅳ. COMPLEXITY and PERFORMANCE EVALUATION 18 -- 4.1 Complexity evaluation 18 -- 4.2 Performance evaluation 21 -- Ⅴ. SUMMARY and FUTURE WORK 24 -- 5.1 Summary 24 -- 5.2 Future work 25
URI
http://dgist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002262484
http://hdl.handle.net/20.500.11750/1329
DOI
10.22677/thesis.2262484
Degree
Master
Department
Information and Communication Engineering
University
DGIST
Files:
Collection:
Information and Communication EngineeringThesesMaster


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE