KEWLS and KFF 2D Comparative Model
收藏DataCite Commons2021-04-24 更新2025-04-16 收录
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https://ieee-dataport.org/documents/kewls-and-kff-2d-comparative-model
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资源简介：
This Matlab model and the included results are submitted as reference for the paper ''.Presenting a comparative study of the Sequential Unscented Kalman Filter (SUKF), Least-squares (LS) Multilateration and standard Unscented Kalman Filter (UKF) for localisation that relies on sequentially received datasets.The KEWLS and KKF approach presents a novel solution using Linear Kalman Filters (LKF) to extrapolate individual sensor measurements to a synchronous point in time for use in LS Multilateration.
提供机构：
IEEE DataPort
创建时间：
2021-04-24
