Biased Kalman Filter
Implementation of Biased Kalman Filter for mitigating non-line-of-sight errors in wireless positioning systems, featuring statistical bias compensation techniques and adaptive measurement noise handling.
Explore MATLAB source code curated for "非视距误差" with clean implementations, documentation, and examples.
Implementation of Biased Kalman Filter for mitigating non-line-of-sight errors in wireless positioning systems, featuring statistical bias compensation techniques and adaptive measurement noise handling.
This program implements a biased Kalman filter to mitigate non-line-of-sight (NLOS) errors in wireless localization, incorporating an NLOS detection module that applies biased Kalman filtering for NLOS conditions and standard Kalman filtering for line-of-sight (LOS) scenarios.