| Project/Area Number |
12650383
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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 | Kansai University (2001-2002)
Hiroshima University (2000) |
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Principal Investigator |
MUNEYASU Mitsuji Kansai University, Fac. of Eng., Associate Professor, 工学部, 助教授 (30229942)
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| Co-Investigator(Kenkyū-buntansha) |
DOI Akimitsu Himeji Institute of Technology, Fac. of Eng., Lecturer, 工学部, 講師 (30294531)
HINAMOTO Takao Hiroshima University, Fac. of Eng., Professor, 工学部, 教授 (50031141)
FUJII Kensaku Himeji Institute of Technology, Fac. of Eng., Professor, 工学部, 教授 (00336827)
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| Project Period (FY) |
2000 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 2002: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2001: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2000: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | active noise control system / simultaneous equations method / autonomous distributed system / adaptive filter / DSP processor / multi-channel / error path / distributed control / 自立分散型 / マルチチャネル |
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| Research Abstract |
In this research project, the following results were obtained.
1) First of all, multi-channel ANC algorithm based on simultaneous equations method without estimation of secondary paths was proposed in a time domain. Next, to reduce computational burden, a frequency domain simultaneous equations method capable of automatically recovering noise reduction effect degraded by secondary path changes was developed. In this algorithm, the application of a frequency domain processing technique, the cross spectrum method, to the simultaneous equations method was considered. By directly applying the equation defining the cross spectrum method to the solution of the simultaneous equations, the additional filter becomes unnecessary. In addition, the system identification circuit is replaced with the inverse Fourier transform. Thereby, the processing cost drastically decreases. This system had almost the same convergence speed as that of the filtered-x NLMS algorithm with the perfectly modeled second
… More
ary path filter.
2) Distributed multiple channel ANC systems which have more than one controller were proposed. This system proposes a new implementation of the distributed multiple channel ANC system based on the simultaneous equations methods. In the proposed algorithm, some exchanges of data between controllers are permitted to improve the performance of noise reduction. The good performances for noise cancellation and tracking of the changes in the error paths were obtained. Next, this system was extended to the robust system for colored noise and noises having cross correlation. In this system, the estimation of error paths was executed at all times. As a result, this system was also robust for the changes of error paths and showed sufficient results though simulation results.
3) For DSP implementation, requirements for DSP processors were confirmed through the implementation of single channel ANC algorithm based on simultaneous equations method. Next, multi-channel ANC algorithm was realized on DSP processors and the good performance of the proposed algorithm was verified. Less
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