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Paper Abstract and Keywords
Presentation 2019-11-22 09:50
Improving Time-domain Symbol Spread Blind Adaptive Array Interference Suppression by Principal Component Analysis
Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2019-226
Abstract (in Japanese) (See Japanese page) 
(in English) We previously proposed a time-domain symbol spreading (TSS) which can expand the operational region of the blind adaptive array (BAA) interference suppression irrespective to the array input signal-to-interference power ratio (SIR). Independent component analysis (ICA) and constant modulus algorithm (CMA) are interest of BAA algorithms which show superior interference suppression performance. TSS is applied to the transmission signal for the desired user and then de-spreads the received signal. It results in gaussianizing the interference signal and can bring beneficial effects reducing the kurtosis as well as to collapse the constancy. Such intentional modification to the interference signals can improve the capture performance of the desired signal and realizes effective interference suppression even when SIR $<$ 0 dB. However, interference suppression characteristics of BAA with TSS is limited when the numbers of signal sources and reception antenna elements are large. This paper presents its detailed characteristics and improves the array output SINR by introducing principal component analysis (PCA) which degenerates the number of effective array inputs.
Keyword (in Japanese) (See Japanese page) 
(in English) Adaptive array / Interference suppression / Blind / Independent component analysis / Constant modulus algorithm / Time-domain symbol spreading / Principal component analysis /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 296, RCS2019-226, pp. 129-134, Nov. 2019.
Paper # RCS2019-226 
Date of Issue 2019-11-13 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2019-226

Conference Information
Committee AP RCS  
Conference Date 2019-11-20 - 2019-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Saga Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2019-11-AP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Time-domain Symbol Spread Blind Adaptive Array Interference Suppression by Principal Component Analysis 
Sub Title (in English)  
Keyword(1) Adaptive array  
Keyword(2) Interference suppression  
Keyword(3) Blind  
Keyword(4) Independent component analysis  
Keyword(5) Constant modulus algorithm  
Keyword(6) Time-domain symbol spreading  
Keyword(7) Principal component analysis  
1st Author's Name Kazuki Maruta  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Kentaro Nishimori  
2nd Author's Affiliation Niigata University (Niigata Univ.)
3rd Author's Name Chang-Jun Ahn  
3rd Author's Affiliation Chiba University (Chiba Univ.)
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Date Time 2019-11-22 09:50:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2019-226 
Volume (vol) IEICE-119 
Number (no) no.296 
Page pp.129-134 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2019-11-13 

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