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Paper Abstract and Keywords
Presentation 2016-10-14 16:25
A Signal Space Analysis of Interferences Cancellation Systems -- Communication is recovery of originality rather than orthogonality of receive signals --
Osamu Ichiyoshi (HNfB21C) SAT2016-60
Abstract (in Japanese) (See Japanese page) 
(in English) Interferences among signals from different sources are universal problems in communication networks. Typical examples are interferences coming through antenna side-lobes in radio networks. Daily interferences come through power lines from engines of automobiles, airplanes or other sources. The inter-symbol interferences in digital communications and echoes in long distance cables systems can be modeled as the interference systems despite the facts that they are generated by the same sources. In some cases interference systems are positively utilized for communications in order to increase the channel capacity. A classic example is reuses of orthogonal polarizations of radio waves that can readily double the channel capacity. Other examples are CDMA (Code-Division-Multiple Access) that can efficiently reuse frequency resources and MIMO (Multiple-Input-Multiple-Output) that can efficiently reuse the space resources. In some cases the interferences signals come from hostile sources as in military applications. Those versatile interferences systems can be analyzed by a signal space theory in a unified form.
The signal space is a multi-dimensional Hilbert space formed by signals originating from independent sources. Signals from different sources are uncorrelated and form orthogonal bases of the signal space. As the receive signals are combinations of signals from a number of different sources, they can be represented by vectors in the signal space. Thus the interferences systems can be statically expressed as vectors in the signal space, thus a simple and unified analysis of varieties of communication networks becomes possible. It is important to discriminate originality and orthogonality of signals. Signals from different sources are uncorrelated, that is, they are inherently mutually orthogonal. In interferences cancellation systems a number of auxiliary receivers are equipped in addition to the main receiver. The correlations measurements among the receive paths signals give a correlation matrix which is an Hermie matrix that can be orthogonalized by eigen values & vectors methods. Thus we can recover the orthogonality of the receive paths signals. However, it is apparent that the originality of the desired signal is not recovered because the main and auxiliary paths signals are combinations of the original signals from different sources. The objective of communication networks is recovery of original signals, hence recovery of orthogonality of the receive paths signals can not achieve the objective of the communications networks. .
Keyword (in Japanese) (See Japanese page) 
(in English) Interferences / LMSE / Decision feedback / Signal Space / Correlation / orthogonality / uncorrelated / originality  
Reference Info. IEICE Tech. Rep., vol. 116, no. 243, SAT2016-60, pp. 127-132, Oct. 2016.
Paper # SAT2016-60 
Date of Issue 2016-10-06 (SAT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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)
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Conference Information
Committee SAT  
Conference Date 2016-10-13 - 2016-10-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Incheon Univ. Songdo R104, Auditorium & Performing Place 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite Communications, etc. (JC-SAT 2016) 
Paper Information
Registration To SAT 
Conference Code 2016-10-SAT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Signal Space Analysis of Interferences Cancellation Systems 
Sub Title (in English) Communication is recovery of originality rather than orthogonality of receive signals 
Keyword(1) Interferences  
Keyword(2) LMSE  
Keyword(3) Decision feedback  
Keyword(4) Signal Space  
Keyword(5) Correlation  
Keyword(6) orthogonality  
Keyword(7) uncorrelated  
Keyword(8) originality  
1st Author's Name Osamu Ichiyoshi  
1st Author's Affiliation Human Network for Better 21 Century (HNfB21C)
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Speaker Author-1 
Date Time 2016-10-14 16:25:00 
Presentation Time 25 minutes 
Registration for SAT 
Paper # SAT2016-60 
Volume (vol) vol.116 
Number (no) no.243 
Page pp.127-132 
#Pages 6 
Date of Issue 2016-10-06 (SAT) 

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