{"product_id":"adaptive-radar-detection-modelbased-datadriven-and-hybrid-approaches-9781630819002","title":"Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book provides a comprehensive guide to data-driven techniques for radar detection, covering classic adaptive radar detection schemes, machine learning techniques, and their application in space-time adaptive target detection against interference. It is a valuable resource for Radar professionals, industrial researchers, and postgraduate students in electrical engineering and the academic community. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 350 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 30 November 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Artech House\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the realm of data-driven techniques for radar detection, encompassing both standalone and hybrid approaches. It specifically focuses on space-time adaptive target detection amidst interference, encompassing clutter, potential jammers, and noise. Serving as a valuable reference, it encompasses a wide range of classic model-based adaptive radar detection schemes, as well as the most popular machine learning techniques, including deep neural networks. By providing a clear understanding of how data-driven tools intersect with traditional adaptive detection statistics, the book empowers readers to identify suitable data-driven approaches for radar detection and address key related issues. It unravels fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains, equipping readers with a deep comprehension of these domains. Moreover, the book guides. guides readers through the adaptation of these concepts and schemes to the problem of radar detection, offering insights into their application in the literature. It serves as a methodological guide, presenting diverse strategies for designing data-driven solutions. With this book, readers will gain the skills to develop a unified perspective, enabling them to harness the full potential of the data-driven approach, even when working with simulated data. Whether you are a Radar professional or an industrial researcher, a postgraduate student in electrical engineering, or part of the academic community, this book is an indispensable resource for advancing your knowledge and expertise in the field of radar detection.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 514g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 159 x 238 x 20 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781630819002\u003c\/p\u003e","brand":"Angelo Coluccia","offers":[{"title":"Paperback","offer_id":44093700112634,"sku":"9781630819002","price":99.13,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_5c5e41ee-83c8-4fb0-910d-23095dd6e07b.jpg?v=1675330496","url":"https:\/\/shulphink.com\/products\/adaptive-radar-detection-modelbased-datadriven-and-hybrid-approaches-9781630819002","provider":"Shulph Ink","version":"1.0","type":"link"}