測定遅延を伴う支援慣性航法の識別可能性:幾何学的アプローチ
On the Identifiability of Aided Inertial Navigation Under Measurement Delays: A Geometric Approach
慣性航法におけるセンサ測定の未知の時間遅延と初期航法状態の識別可能性を、特殊ガリレイ群を用いて解析し、遅延と状態を一意に回復するために必要な測定の最小数と種類を決定した。また、一意な回復を妨げる非情報的軌道のクラスを特徴付けた。
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著者: Jonathan Kelly
分類: cs.RO
原文アブストラクト
In aided inertial navigation, measurements from different sensors are often subject to unknown relative time delays. Consider a single aiding sensor whose measurements have an unknown but constant delay relative to the inertial-measurement data stream. We study the identifiability of the delay and the initial navigation state parameterizing the trajectory. Identifiability depends on both the temporal structure of the aiding measurements and the form of the trajectory. Using the special Galilean group, we determine the minimal number and type of aiding measurements needed to recover the delay and the navigation state. We also characterize a class of uninformative trajectories, for which the delayed measurement model admits a continuous symmetry that prevents unique delay-and-state recovery. We show that each such trajectory is generated by a constant element of the Galilean Lie algebra, and connect this result to the familiar linearized, Jacobian-based analysis.
