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Paper Abstract and Keywords
Presentation 2018-10-11 13:55
Signal Space Theory and Applications to Communications -- Communication is recovery of the original vector in the signal space --
Osamu Ichiyoshi (HNB21C)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper gives the conclusive chapters in the Signal Space theory and its applications to communications described in two previous papers for JCSAT 2016 and 2017. In the first paper [1] a formulation of the signal space was given and its applications to interferences cancellation based on least-mean-square output (LMSO) method were analyzed. A problem of trivial zero output for excessive number of cancelling paths and other defects of the LMSO method were clarified based on the signal space analysis. An improved LMSE method was proposed and described in signal space concepts. In the second paper [2] the structure of the signal space was established based on Tangent Square Summation (TSS) theorem. The TSS theorem is effective to expand the signal space theory to include the thermal noise.
In this paper a brief summary of the signal space theory is given. The TSS theorem is proven in a different approach. In addition more emphasis is put in the applications. The improved LMSE method is based on regeneration of the wanted signal which is the very objective of communications. For digital communications the regeneration of the wanted signal replica with high fidelity can be made by demodulation. For analog modulations it is generally difficult as the wave-shape of the desired signal is not a pri.o.ri known at the receiver. A hard limiting (HL) is analyzed as a means to regenerate the wanted signal at the receiver with improved signal-to-interferences ratio (SIR). The SIR improvement of HL method is based on “small signal suppression effect” universally observed in signal transmission systems [3].
Implementation of the multi-dimensional LMSE methods to cancellation of multiple interferences is studied. The integration control of the adaptive weights is analyzed to clarify stability conditions of the control loops. Applications of the improved LMSE method to decision feedback equalizers, dual-polarization radio communication systems, multiple-inputs-multiple-output (MIMO) systems, and any other noise cancellation systems are briefly described as the theory is general and concrete enough to allow direct applications to wide varieties of problems.
Keyword (in Japanese) (See Japanese page) 
(in English) Interferences / LMSE / Signal Space / Hilbert Space / Correlation / Likelihood / Orthogonality / Hard Limiter  
Reference Info. IEICE Tech. Rep., vol. 118, no. 237, SAT2018-49, pp. 11-16, Oct. 2018.
Paper # SAT2018-49 
Date of Issue 2018-10-04 (SAT) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SAT  
Conference Date 2018-10-11 - 2018-10-12 
Place (in Japanese) (See Japanese page) 
Place (in English) KARI 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite Communication Technology, etc. 
Paper Information
Registration To SAT 
Conference Code 2018-10-SAT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Signal Space Theory and Applications to Communications 
Sub Title (in English) Communication is recovery of the original vector in the signal space 
Keyword(1) Interferences  
Keyword(2) LMSE  
Keyword(3) Signal Space  
Keyword(4) Hilbert Space  
Keyword(5) Correlation  
Keyword(6) Likelihood  
Keyword(7) Orthogonality  
Keyword(8) Hard Limiter  
1st Author's Name Osamu Ichiyoshi  
1st Author's Affiliation Human Network for Better 21 Century (HNB21C)
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Date Time 2018-10-11 13:55:00 
Presentation Time 25 
Registration for SAT 
Paper # IEICE-SAT2018-49 
Volume (vol) IEICE-118 
Number (no) no.237 
Page pp.11-16 
#Pages IEICE-6 
Date of Issue IEICE-SAT-2018-10-04 

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