| 書目名稱 | Model-Based Processing for Underwater Acoustic Arrays | | 編輯 | Edmund J. Sullivan | | 視頻video | http://file.papertrans.cn/636/635863/635863.mp4 | | 概述 | Represents the first unified approach to model-based array processing.Presents experimentally verified examples.Sufficiently self-contained to allow use by practicing engineers and researchers.Include | | 叢書名稱 | SpringerBriefs in Physics | | 圖書封面 |  | | 描述 | .This monograph presents a unified approach to model-based processing for underwater acoustic arrays. The use of physical models in passive array processing is not a new idea, but it has been used on a case-by-case basis, and as such, lacks any unifying structure. This work views all such processing methods as estimation procedures, which then can be unified by treating them all as a form of joint estimation based on a Kalman-type recursive processor, which can be recursive either in space or time, depending on the application. This is done for three reasons. First, the Kalman filter provides a natural framework for the inclusion of physical models in a processing scheme. Second, it allows poorly known model parameters to be jointly estimated along with the quantities of interest. This is important, since in certain areas of array processing already in use, such as those based on matched-field processing, the so-called mismatch problem either degrades performance or, indeed, prevents any solution at all. Thirdly, such a unification provides a formal means of quantifying the performance improvement. The term model-based will be strictly defined as the use of?physics-based models as | | 出版日期 | Book 2015 | | 關(guān)鍵詞 | Acoustic Signal Processing; Array Signal Processing; Arrays for Detection; Arrays for Localization; Auto | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-17557-7 | | isbn_softcover | 978-3-319-17556-0 | | isbn_ebook | 978-3-319-17557-7Series ISSN 2191-5423 Series E-ISSN 2191-5431 | | issn_series | 2191-5423 | | copyright | Edmund J. Sullivan 2015 |
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