| Presentation | 2018-10-11 Signal Space Theory and Applications to Communications Osamu Ichiyoshi, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | InterferencesLMSESignal SpaceHilbert SpaceCorrelationLikelihoodOrthogonalityHard Limiter |
| Paper # | SAT2018-49 |
| Date of Issue | 2018-10-04 (SAT) |
| Conference Information | |
| Committee | SAT |
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| Conference Date | 2018/10/11(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KARI |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Satellite Communication Technology, etc. |
| Chair | Hiroyuki Tsuji(NICT) |
| Vice Chair | Hisashi Sujikai(NHK) / Fumihiro Yamashita(NTT) |
| Secretary | Hisashi Sujikai(NTT) / Fumihiro Yamashita(NICT) |
| 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) | Signal Space Theory and Applications to Communications |
| Sub Title (in English) | Communication is recovery of the original vector in the signal space |
| Keyword(1) | InterferencesLMSESignal SpaceHilbert SpaceCorrelationLikelihoodOrthogonalityHard Limiter |
| 1st Author's Name | Osamu Ichiyoshi |
| 1st Author's Affiliation | Human Network for Better 21 Century(HNB21C) |
| Date | 2018-10-11 |
| Paper # | SAT2018-49 |
| Volume (vol) | vol.118 |
| Number (no) | SAT-237 |
| Page | pp.pp.11-16(SAT), |
| #Pages | 6 |
| Date of Issue | 2018-10-04 (SAT) |