Intel Corporation

Stuart A Golden

Jong-Kae Fwu

Arvind A Kumar

Kristoffer Fleming

Ajay V Bhatt

James R Trethewey

Helen Kankan Pan

Roger A Hurwitz

Steven S Bateman

James Tsai

Huaiyu Liu

Naiel K Askar

A method to adjust operation of a network controller of a device is disclosed. The method may include receiving contextual data from a sensor communicatively coupled to the device. The method may also include analyzing the contextual data to determine the context of the device. The method may also include modifying the network controller operation based on the analyzed contextual data.

Sensor and context based adjustment of the operation of a network controller

A lost or stolen computing device is recovered. A trusted server is requested to locate the computing device. The trusted server requests coarse location information from the computing device, and the computing device reports its coarse location. The trusted server then requests that the computing device transmit wireless local area networks signal so that it may be recovered.

Electronic system location determination

Methods and apparatus to reconfigure an antenna for use with mixed wireless networks are described. In one embodiment, a switch is coupled between a first portion and a second portion of an antenna to cause the antenna to tune to a plurality of radio frequency bands. Other embodiments are also described.

Configurable antenna for mixed wireless networks

According to one embodiment, a method is disclosed. The method includes receiving data at a first wireless radio device that has been transmitted from the first wireless radio device, receiving time stamp information from a second first wireless radio device and estimating time of arrival (TOA) information based upon the data and the time stamp information.

Time of arrival estimation mechanism

An algorithm identifies a line-of-sight (LOS) signal that may be used to provide an effective time-of-arrival (TOA) estimation.

Effective time-of-arrival estimation algorithm for multipath environment

Correcting a signal offset may include observing a finite duration signal y that comprises a representation of a mixture of a desired signal that may include data of interest, and an undesired signal based on interference of an external interference source. The undesired signal may include an offset component which may be modeled as comprising a step function u defined by unknown step function parameters. The unknown step function parameters may be estimated using, for example, a maximum likelihood method. Thereafter, y may be corrected based on the estimated step function parameters.

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Portland, OR, United States of America

Stuart A Golden