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| 題 名 | 環形聲納列陣之波束合成技術研究=Research on Beamforming for Circular Array Sonar |
|---|---|
| 作 者 | 吳柏賢; | 書刊名 | 新新科技年刊 |
| 卷 期 | 12 2016.01[民105.01] |
| 頁 次 | 頁58-66 |
| 分類號 | 334.6 |
| 關鍵詞 | 時延波束合成; MVDR波束合成; GSC波束合成; MUSIC多重信號分類理論; Delay-and-sum beamforming; Minimum variance distortionless response beamforming; Generalized sidelobe canceller beamforming; Multiple signal classification; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 本研究依據自製的環形聲納雛型,以模擬的方式評估方位估測與波束合成兩項技術。方位估測技術可判斷目標聲波的入射角度,波束合成技術則可提高接收信號中的目標信號成分,使最終的輸出信號具有較高的信雜比。文中針對時延波束合成、MVDR波束合成、GSC波束合成及MUSIC多重信號分類理論進行評估,分析其主波束寬度、旁波束增益、抗雜訊能力、運算時間等等參數。模擬結果顯示,MUSIC具有最佳的方位估測效能,但演算法需對自相關矩陣執行奇異值分解,因此運算量也最大;MVDR與GSC雖具有相同的波束場型,但演算法架構以GSC較為精簡,因此GSC具有最佳的波束合成效能。三項演算法皆優於傳統的時延波束合成,但相對複雜的運算量,仍是後續系統應用時需考量的因素之一。 |
| 英文摘要 | In the present study, the direction of arrival predicting and beamforming techniques are evaluated by using a model of circular array sonar (CAS) in simulation. Direction of incident wave can be determined by using the direction of arrival predicting. Signal-to-noise ratio (SNR) of output signal can be increased by using the beamforming which can enhance component of target signal from receiver. Delay-and-sum beamforming, minimum variance distortionless response beamforming (MVDR), generalized sidelobe canceller beamforming (GSC), and multiple signal classification (MUSIC) are evaluated by width of main lobe, gain of side lobe, ability of noise resisting, and computation time. As a result, MUSIC has best performance on the direction of arrival predicting as shown in simulation, but operation of algorithms is also large, the reason is that singular value decomposition must be implemented for auto-correlation matrix in this algorithm. GSC has best performance on the beamforming even though beam patterns of MVDR and GSC are closely, because the algorithm of GSC is relatively simple. To sum up, performances of three algorithms are better than the delay-and-sum beamforming, but the large computation must be considered when those techniques will be applied on system in the future. |
本系統中英文摘要資訊取自各篇刊載內容。