A STUDY ON FAST CONVERGENCE BLIND ADAPTIVE EQUALIZER WITH FRACTIONAL TAP SPACE
| Project/Area Number |
10650374
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報通信工学
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| Research Institution | KYUSHU INSTITUTE OF TECHNOLOGY (1999)
University of the Ryukyus (1998) |
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Principal Investigator |
OCHI Hiroshi KYUSHU INSTITUTE OF TECHNOLOGY, DEPT. OF CSE, PROFESSOR, 情報工学部, 教授 (50185617)
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| Co-Investigator(Kenkyū-buntansha) |
HIGA Yoshito TEXAS INSTRUMENT, TUKUBA R&D, GRADUATE STUDENT, 筑波研究開発センター, 研究員
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| Project Period (FY) |
1998 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 1999: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1998: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | BLIND SYSTEM IDENTIFICATION / ADAPTIVE FILTER / NOISE ROBUST / LMS ALGORITHM |
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| Research Abstract |
In recent telecommunication systems, signal equalization is essential and necessary technique to achieve fast bit rate. In order to make it possible, blind equalization techniques, which do not need any training signals, are gathering a lot of attention and demand. In this paper, we propose a novel blind system identification scheme which is robust for additive noise. The proposed algorithm can carry out blind system identification even if there is no statistical information in terms of noise signals as far as it is uncorrelated. In addition, gradient type adaptive algorithm, which is not available in conventional schemes, is also derived and then some computer simulations are shown in order to show the effectiveness of the proposed method.
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Report
(3 results)
Research Products
(8 results)
