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Location determination techniques

A specific, target-object technique, applied in the field of determining a set of characteristics of the target object in the environment, which can solve the problems of high computational load, memory consumption, etc.

Inactive Publication Date: 2012-10-10
EKAHAU OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Increasing the number of possible states rapidly increases the number of state transitions, which consumes memory and creates a high computational load

Method used

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  • Location determination techniques
  • Location determination techniques
  • Location determination techniques

Examples

Experimental program
Comparison scheme
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Embodiment approach

[0152] According to one embodiment, the descendant generator DG derives the X sums of the child points 830, 840, 850 and 860 by determining the mean value of the parent points 810 and 820 and adding a small (pseudo)random variable to this mean value. Y-coordinate. Alternatively, the descendant generator DG can process such that child points inherit various combinations of parent point attributes.

[0153] As shown in this example, the descendant generator DG causes the four child points 830, 840, 850, and 860 to inherit various combinations of device model and motion model indications in the attribute sets of the parent points 810 and 820. Subpoint 830 has both models incorrect, point 840 has the correct motion model but incorrect device model, point 850 has the correct device model but incorrect motion model, and point 860 has both models correct. Because the properties of point 860 indicate the optimal device model and optimal motion model for the target node, it has the be...

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Abstract

A method for estimating a target object (TO) properties (SP), including location, in an environment. A topology model (TM) indicates permissible locations and transitions and a data model (DAM) models a location-dependent physical quantity (PQ) which is observed by the target object's sensing device. Motion models (MM) model specific target object types, obeying the permissible locations and transitions. The target object is assigned a set of particles (P; 112, 122, ...), each having a set of attributes (AS), including location in relation to the topology model. The attributes estimate the target object properties (SP; 111, 121, ...). The particles' update cycles comprise: determining a degree of belief (113, 123, ...) for each particle to estimate the target object properties (SP); determining a weight (115, 125, ...) for each particle based on at least the determined degree of belief and generating new particles for update cycle n+1 in an evolutionary process.

Description

technical field [0001] The invention relates to a method, a device and a software product for determining a set of characteristics of a target object in an environment. Illustrative examples of target objects include people, animals, vehicles, tools, shopping carts, or folders of items. An illustrative example of a target object characteristic set includes location. An illustrative, non-limiting application of the present invention includes locating wireless mobile terminals in a wireless communication environment, such as in a wireless local area network (WLAN) or a cellular network. Background technique [0002] US 6 393 294 to Luis Perez-Breva et al. discloses a representative prior art for locating mobile units in wireless communication systems. The location of the remote mobile unit is determined by comparing a snapshot taken by the mobile unit of a predetermined portion of the radio frequency spectrum with a reference database containing snapshots taken at various lo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/04G01S1/02H04W64/00
CPCH04W64/00G01S5/0252H04W4/023
Inventor P·米西坎加斯
Owner EKAHAU OY