Decision Feedback GSC with Optimum Subband Decomposition

碩士 === 國立臺灣科技大學 === 電子工程系 === 93 === Adaptive beamforming, which can dynamically adjust its beampattern to enhance the desired signal and null out or reduce the interferences, is of importance in various disciplines of signal processing applications. In this thesis, we focus on that the inherent set...

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Main Authors: Kai-Yeh pan, 潘凱業
Other Authors: Wen-Hsien Fang
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/35981490824837380552
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spelling ndltd-TW-093NTUST4280092015-10-13T11:39:20Z http://ndltd.ncl.edu.tw/handle/35981490824837380552 Decision Feedback GSC with Optimum Subband Decomposition 決策迴授廣義旁波帶消除器之最佳子頻帶分解 Kai-Yeh pan 潘凱業 碩士 國立臺灣科技大學 電子工程系 93 Adaptive beamforming, which can dynamically adjust its beampattern to enhance the desired signal and null out or reduce the interferences, is of importance in various disciplines of signal processing applications. In this thesis, we focus on that the inherent setback of subband generalized sidelobe canceller (GSC), as the traditional GSC, is the nonzero error signal, which consists of both the desireed signal and the noise signal, in the output of the GSC. In addition, the practically imperfect subband decomposition also increases this error signal due to the aliasing between subbands. Such a nonzero error signal will retaliate the convergence rate of GSC. To alleviate this shortcoming, the thesis proposes a decision feedback subband GSC, in which the design of the statistically optimum filter bank decomposition of the signals passing through the lower branch of the GSC as well as the signal after the decision feedback based on the minimum mean-square error criterion is addressed. The new beamformer not only renders superior interference cancellation capability, but also possesses a fast convergence rate due to the subband processing scheme and the removal of the desired signal subband component in the output of the GSC via the decision feedback. Furthermore, to mitigate the computational overhead in the determination of the subband filter coefficients, an iterative procedure is also addressed. To provide further insights into the proposed approach, the analytic expressions of the output signal-to-interference-plus-noise ratio (SINR) of the decision feedback subband GSC is derived. The convergence behavior of the proposed beamformer is analyzed as well to justify the advantages of the new scheme. Furnished simulations show that the proposed beamformer can yield superior performance with faster convergence characteristics compated with previous works. Wen-Hsien Fang 方文賢 2005 學位論文 ; thesis 72 en_US
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language en_US
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description 碩士 === 國立臺灣科技大學 === 電子工程系 === 93 === Adaptive beamforming, which can dynamically adjust its beampattern to enhance the desired signal and null out or reduce the interferences, is of importance in various disciplines of signal processing applications. In this thesis, we focus on that the inherent setback of subband generalized sidelobe canceller (GSC), as the traditional GSC, is the nonzero error signal, which consists of both the desireed signal and the noise signal, in the output of the GSC. In addition, the practically imperfect subband decomposition also increases this error signal due to the aliasing between subbands. Such a nonzero error signal will retaliate the convergence rate of GSC. To alleviate this shortcoming, the thesis proposes a decision feedback subband GSC, in which the design of the statistically optimum filter bank decomposition of the signals passing through the lower branch of the GSC as well as the signal after the decision feedback based on the minimum mean-square error criterion is addressed. The new beamformer not only renders superior interference cancellation capability, but also possesses a fast convergence rate due to the subband processing scheme and the removal of the desired signal subband component in the output of the GSC via the decision feedback. Furthermore, to mitigate the computational overhead in the determination of the subband filter coefficients, an iterative procedure is also addressed. To provide further insights into the proposed approach, the analytic expressions of the output signal-to-interference-plus-noise ratio (SINR) of the decision feedback subband GSC is derived. The convergence behavior of the proposed beamformer is analyzed as well to justify the advantages of the new scheme. Furnished simulations show that the proposed beamformer can yield superior performance with faster convergence characteristics compated with previous works.
author2 Wen-Hsien Fang
author_facet Wen-Hsien Fang
Kai-Yeh pan
潘凱業
author Kai-Yeh pan
潘凱業
spellingShingle Kai-Yeh pan
潘凱業
Decision Feedback GSC with Optimum Subband Decomposition
author_sort Kai-Yeh pan
title Decision Feedback GSC with Optimum Subband Decomposition
title_short Decision Feedback GSC with Optimum Subband Decomposition
title_full Decision Feedback GSC with Optimum Subband Decomposition
title_fullStr Decision Feedback GSC with Optimum Subband Decomposition
title_full_unstemmed Decision Feedback GSC with Optimum Subband Decomposition
title_sort decision feedback gsc with optimum subband decomposition
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/35981490824837380552
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