Presentation | 2016-10-14 A Signal Space Analysis of Interferences Cancellation Systems Osamu Ichiyoshi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | InterferencesLMSEDecision feedbackSignal SpaceCorrelationorthogonalityuncorrelatedoriginality |
Paper # | SAT2016-60 |
Date of Issue | 2016-10-06 (SAT) |
Conference Information | |
Committee | SAT |
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Conference Date | 2016/10/13(2days) |
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) |
Chair | Takatoshi Sugiyama(Kogakuin Univ.) |
Vice Chair | Toshinori Susuki(Tohoku Gakuin Univ.) / Hiroyuki Tsuji(NICT) |
Secretary | Toshinori Susuki(NTT) / Hiroyuki Tsuji(KDDI R&D Labs.) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Satellite Telecommunications |
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Language | ENG |
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) | InterferencesLMSEDecision feedbackSignal SpaceCorrelationorthogonalityuncorrelatedoriginality |
1st Author's Name | Osamu Ichiyoshi |
1st Author's Affiliation | Human Network for Better 21 Century(HNfB21C) |
Date | 2016-10-14 |
Paper # | SAT2016-60 |
Volume (vol) | vol.116 |
Number (no) | SAT-243 |
Page | pp.pp.127-132(SAT), |
#Pages | 6 |
Date of Issue | 2016-10-06 (SAT) |