Device type state estimation
AssigneeTelefonaktiebolaget LM Ericsson (publ)
InventorsTorbjörn Wigren, Sholeh Yasini
Life of this patent
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Abstract
A method for type state estimation of a user equipment connected to a wireless communication network. The method comprises updating, recursively, of a type state estimate. The type state estimate is a probability for the user equipment to be a drone conditioned on obtained kinematic state estimate updates concerning the user equipment. The user equipment is assigned to be a drone as a response on the type state estimate exceeding a threshold.
Claims15
A method for type state estimation of a user equipment connected to a wireless communication network, wherein said method comprising:
- updating, recursively, a type state estimate, being a probability for said user equipment to be a drone conditioned on obtained kinematic state estimate updates concerning said user equipment;
- and
- assigning said user equipment to be a drone as a response on said type state estimate exceeding a threshold;
- and
- wherein an updated type state estimate is equal to a preceding type state estimate probability multiplied with a likelihood of said obtained kinematic state estimate updates and normalized, and wherein said likelihood is a probability of a smooth indicator function, representing a discrimination feature of the kinematic state estimate, where said likelihood is conditioned on the user equipment being a drone.
A network node for type state estimation of a user equipment connected to a wireless communication network to which said network node is connected, the network node comprising:
- a processor;
- and
- a memory comprising a computer program which, when executed by the processor, causes the network node to:
- update recursively a type state estimate, being a probability for said user equipment to be a drone conditioned on obtained kinematic state estimate updates concerning said user equipment;
- assign said user equipment to be a drone as a response on said type state estimate exceeding a threshold;
- and
- wherein an updated type state estimate is equal to a preceding type state estimate probability multiplied with a likelihood of said obtained kinematic state estimate updates and normalized, and wherein said likelihood is a probability of a smooth indicator function, representing a discrimination feature of the kinematic state estimate, where said likelihood is conditioned on the user equipment being a drone.
A non-transitory computer-readable storage medium comprising instructions which, when executed by at least one processor is are capable of causing a network node for type state estimation of a user equipment connected to a wireless network to perform operations comprising:
- updating, recursively, a type state estimate, being a probability for said user equipment to be a drone conditioned on obtained kinematic state estimate updates concerning said user equipment;
- assigning said user equipment to be a drone as a response on said type state estimate exceeding a threshold;
- and
- wherein an updated type state estimate is equal to a preceding type state estimate probability multiplied with a likelihood of said obtained kinematic state estimate updates and normalized, and wherein said likelihood is a probability of a smooth indicator function, representing a discrimination feature of the kinematic state estimate, where said likelihood is conditioned on the user equipment being a drone.
Dependencies are inferred from the claim text.