Fast Control Method of Parasitic Antennas Using Noniterative Algorithm in Multiantenna System
A fast control method for parasitic antennas based on a noniterative measurement is proposed in this paper. This method uses the channel state information at the receivers and predicts the channel even at the parasitic antennas that have tunable reactances instead of receivers. The channel predictio...
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| Veröffentlicht in: | IEEE transactions on antennas and propagation 2012-04, Vol.60 (4), p.2044-2051 |
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| container_title | IEEE transactions on antennas and propagation |
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| creator | Honma, N. Nishimori, K. Kudo, R. Takatori, Y. Mizoguchi, M. |
| description | A fast control method for parasitic antennas based on a noniterative measurement is proposed in this paper. This method uses the channel state information at the receivers and predicts the channel even at the parasitic antennas that have tunable reactances instead of receivers. The channel prediction accuracy is investigated by considering the effect of the noise, and it is found that the channel at the parasitic antennas is well predicted from a few trials without recourse to iterated measurements when the signal to noise ratio is higher than 20 dB. The results of the simulation and measurement show that the interference can be suppressed even when the estimation accuracy is affected by the noise if the number of trials is sufficient. The experimental results demonstrate that the proposed methods achieve a fourfold channel capacity improvement and 10 dB improvement in signal-to-interference-plus-noise ratio (SINR) compared to two antennas without the parasitic antennas . |
| doi_str_mv | 10.1109/TAP.2012.2186217 |
| format | Article |
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This method uses the channel state information at the receivers and predicts the channel even at the parasitic antennas that have tunable reactances instead of receivers. The channel prediction accuracy is investigated by considering the effect of the noise, and it is found that the channel at the parasitic antennas is well predicted from a few trials without recourse to iterated measurements when the signal to noise ratio is higher than 20 dB. The results of the simulation and measurement show that the interference can be suppressed even when the estimation accuracy is affected by the noise if the number of trials is sufficient. 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This method uses the channel state information at the receivers and predicts the channel even at the parasitic antennas that have tunable reactances instead of receivers. The channel prediction accuracy is investigated by considering the effect of the noise, and it is found that the channel at the parasitic antennas is well predicted from a few trials without recourse to iterated measurements when the signal to noise ratio is higher than 20 dB. The results of the simulation and measurement show that the interference can be suppressed even when the estimation accuracy is affected by the noise if the number of trials is sufficient. 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This method uses the channel state information at the receivers and predicts the channel even at the parasitic antennas that have tunable reactances instead of receivers. The channel prediction accuracy is investigated by considering the effect of the noise, and it is found that the channel at the parasitic antennas is well predicted from a few trials without recourse to iterated measurements when the signal to noise ratio is higher than 20 dB. The results of the simulation and measurement show that the interference can be suppressed even when the estimation accuracy is affected by the noise if the number of trials is sufficient. 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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive array Antennas Applied sciences Channel estimation channel state information (CSI) Channels Computer simulation Control systems Exact sciences and technology Interference mulitple-input-multiple-output (MIMO) Noise Noise levels Radiocommunications Receivers Receiving antennas Signal to noise ratio Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Training Transmission and modulation (techniques and equipments) Transmitting antennas tunable reactance device |
| title | Fast Control Method of Parasitic Antennas Using Noniterative Algorithm in Multiantenna System |
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