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Titlebook: Advances in Waveform-Agile Sensing for Tracking; Sandeep Prasad Sira,Antonia Papandreou-Suppappola, Book 2009 Springer Nature Switzerland

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發(fā)表于 2025-3-21 16:53:26 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Waveform-Agile Sensing for Tracking
影響因子2023Sandeep Prasad Sira,Antonia Papandreou-Suppappola,
視頻videohttp://file.papertrans.cn/151/150163/150163.mp4
學科分類Synthesis Lectures on Algorithms and Software in Engineering
圖書封面Titlebook: Advances in Waveform-Agile Sensing for Tracking;  Sandeep Prasad Sira,Antonia Papandreou-Suppappola, Book 2009 Springer Nature Switzerland
影響因子Recent advances in sensor technology and information processing afford a new flexibility in the design of waveforms for agile sensing. Sensors are now developed with the ability to dynamically choose their transmit or receive waveforms in order to optimize an objective cost function. This has exposed a new paradigm of significant performance improvements in active sensing: dynamic waveform adaptation to environment conditions, target structures, or information features. The manuscript provides a review of recent advances in waveform-agile sensing for target tracking applications. A dynamic waveform selection and configuration scheme is developed for two active sensors that track one or multiple mobile targets. A detailed description of two sequential Monte Carlo algorithms for agile tracking are presented, together with relevant Matlab code and simulation studies, to demonstrate the benefits of dynamic waveform adaptation. The work will be of interest not only to practitioners of radarand sonar, but also other applications where waveforms can be dynamically designed, such as communications and biosensing. Table of Contents: Waveform-Agile Target Tracking Application Formulation / D
Pindex Book 2009
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發(fā)表于 2025-3-21 21:46:49 | 只看該作者
Synthesis Lectures on Algorithms and Software in Engineeringhttp://image.papertrans.cn/a/image/150163.jpg
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Daniel Chazan,Patricio Herbst,Hagit Selao achieve performance gains over nonadaptive systems. Although the development of waveform-agile sensing is relatively new in radar and sonar [1], these features have existed in the bio-sonar of mammals such as bats and dolphins for millions of years. The benefits of such adaptation include improved
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https://doi.org/10.1057/9780230348721d by the uncertainty in the origin of the measurements. This introduces new trade-offs in the waveform selection process [53]. In this chapter, we examine the problem of selecting and configuring waveforms for tracking targets in clutter with imperfect detections. We present a methodology to predict
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Book 2009 developed with the ability to dynamically choose their transmit or receive waveforms in order to optimize an objective cost function. This has exposed a new paradigm of significant performance improvements in active sensing: dynamic waveform adaptation to environment conditions, target structures,
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