Beyond the Kalman Filter 豆 0.0分

资源最后更新于 2020-09-27 15:06:21

作者：Ristic, Branko/ Arulampalam, Sanjeev/ Gordon, Neil

出版社：Artech House

出版日期：2004-01

ISBN：9781580536318

文件格式： pdf

标签： kalman filtering Filters Particle 高等代数 机器学习 dsa

简介· · · · · ·

With this hands-on guide, you can develop more accurate and reliable nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of ma...