{"product_id":"9781580536318","title":"Beyond The Kalman Filter","description":"The fundamental building block of a target tracking radar system is the filter for recursive target state estimation, with the Kalman filter being the best-known example. The authors of this work (all of Australia's Defense Science and Technology Organization) believe that particle filters relying on sequential Monte Carlo estimation and non-Gaussian dynamic estimation are growing to be more useful than Kalman filters. Writing for engineers, they review the current status of nonlinear\/non-Gaussian filtering and describe common techniques. They then turn their attention to an array of target tracking applications, most of which rely on particle filters. Annotation ©2004 Book News, Inc., Portland, OR  ","brand":"Artech House, Incorporated","offers":[{"title":"Default Title","offer_id":47053930266864,"sku":"9781580536318","price":159.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781580536318_p0.jpg?v=1763782889","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781580536318","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}