RangeUncertainties
Range uncertainties describe the lack of perfect knowledge of the distance from a sensing device to a target. If r_true is the true range and r_meas is the measured range, then r_meas = r_true + e, where e is the error term that may include a systematic bias and a random component.
Sources of range uncertainty include instrument bias due to calibration errors, timing jitter, and incomplete sampling;
Characterizing uncertainty involves an error model and statistics such as standard deviation or RMSE. In many
Reduction strategies include thorough calibration, higher measurement bandwidth, environmental compensation, motion stabilization, averaging or multi-shot techniques,
Range uncertainty is a critical consideration in surveying, autonomous navigation, robotics, lidar and radar remote sensing,