By Edmund J. Sullivan
ISBN-10: 3319175564
ISBN-13: 9783319175560
This monograph offers a unified method of model-based processing for underwater acoustic arrays. using actual versions in passive array processing isn't really a brand new thought, however it has been used on a case-by-case foundation, and as such, lacks any unifying constitution. This paintings perspectives all such processing tools as estimation techniques, which then might be unified via treating all of them as a sort of joint estimation in keeping with a Kalman-type recursive processor, which might be recursive both in area or time, counting on the applying. this can be performed for 3 purposes. First, the Kalman clear out offers a common framework for the inclusion of actual versions in a processing scheme. moment, it permits poorly identified version parameters to be together envisioned besides the amounts of curiosity. this can be vital, considering the fact that in sure parts of array processing already in use, akin to these in line with matched-field processing, the so-called mismatch challenge both degrades functionality or, certainly, prevents any resolution in any respect. Thirdly, the sort of unification presents a proper technique of quantifying the functionality development. The time period model-based can be strictly outlined because the use of physics-based versions as a method of introducing a priori info. This leads obviously to viewing the tactic as a Bayesian processor. brief expositions of estimation conception and acoustic array conception are provided, via a presentation of the Kalman clear out in its recursive estimator shape. Examples of functions to localization, bearing estimation, variety estimation and version parameter estimation are supplied besides experimental effects verifying the strategy. The publication is adequately self-contained to function a consultant for the applying of model-based array processing for the practising engineer.
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Model-Based Processing for Underwater Acoustic Arrays (SpringerBriefs in Physics) by Edmund J. Sullivan
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