A target device's location is estimated by a location estimation module (LEM) that comprises a probabilistic model (PM) for a plurality of sample points, each of which comprises a sample location and an expected distribution of signal values at that sample point. The location estimation module (LEM) makes a sequence (OS) of observations on, n=1, 2, 3 . . . , of signal values. Each observation corresponds to a respective location qn along the target device's path. The sequence of observations and the respective location constitute a hidden Markov model. The module estimates the target device's location qn based on the probabilistic model (PM) and the sequence of observations, wherein the sequence of observations comprises one or more future observations on+m for which m is a positive integer.; In other words, the target device's location is estimated, at least partially, based on knowledge of its future.
|Utgivningsår||23 jun 2005|
|Status||Publicerad - 23 jun 2005|
|MoE-publikationstyp||H1 Beviljat patent|
Bibliografisk informationUS7349683US2005136944 (A1)
- 113 Data- och informationsvetenskap