講演名 2016-10-14
A Signal Space Analysis of Interferences Cancellation Systems
市吉 修(HNfB21C),
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抄録(和)
抄録(英) 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. .
キーワード(和)
キーワード(英) InterferencesLMSEDecision feedbackSignal SpaceCorrelationorthogonalityuncorrelatedoriginality
資料番号 SAT2016-60
発行日 2016-10-06 (SAT)

研究会情報
研究会 SAT
開催期間 2016/10/13(から2日開催)
開催地(和) 仁川大学松島R104, Auditorium & Performing Place
開催地(英) Incheon Univ. Songdo R104, Auditorium & Performing Place
テーマ(和) 衛星通信技術及び一般
テーマ(英) Satellite Communications, etc. (JC-SAT 2016)
委員長氏名(和) 杉山 隆利(工学院大)
委員長氏名(英) Takatoshi Sugiyama(Kogakuin Univ.)
副委員長氏名(和) 鈴木 利則(東北学院大) / 辻 宏之(NICT)
副委員長氏名(英) Toshinori Susuki(Tohoku Gakuin Univ.) / Hiroyuki Tsuji(NICT)
幹事氏名(和) 中平 勝也(NTT) / 山崎 浩輔(KDDI研)
幹事氏名(英) Katsuya Nakahira(NTT) / Kosuke Yamazaki(KDDI R&D Labs.)
幹事補佐氏名(和)
幹事補佐氏名(英)

講演論文情報詳細
申込み研究会 Technical Committee on Satellite Telecommunications
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) A Signal Space Analysis of Interferences Cancellation Systems
サブタイトル(和) Communication is recovery of originality rather than orthogonality of receive signals
キーワード(1)(和/英) / InterferencesLMSEDecision feedbackSignal SpaceCorrelationorthogonalityuncorrelatedoriginality
第 1 著者 氏名(和/英) 市吉 修 / Osamu Ichiyoshi
第 1 著者 所属(和/英) 二十一世紀を楽しく生きよう会(略称:HNfB21C)
Human Network for Better 21 Century(略称:HNfB21C)
発表年月日 2016-10-14
資料番号 SAT2016-60
巻番号(vol) vol.116
号番号(no) SAT-243
ページ範囲 pp.127-132(SAT),
ページ数 6
発行日 2016-10-06 (SAT)