Google Inc.

Global Weather Corporation

Microsoft Technology Licensing, LLC

Ball Corporation

William B Gail

William R Myers

Sharad Agarwal

John Charles Curlander

Zongxiang Yang

Joshua Thompson

Henry Frick

Danny Cheresnick

Janani C Sriram

A system for using mobile data to improve weather information is provided. The system includes a weather prediction station configured to receive stationary observation data provided by a plurality of stationary weather stations along with data from a plurality of input weather models and generate unified weather model estimates based on the stationary observation data, the input weather model data, and a processor. The processor is configured to aggregate mobile observation data provided by a plurality of non-stationary sensors and use the aggregated mobile observation data to adjust the weather model estimates.

Using mobile data to improve weather information

A system () for using mobile data to improve weather information is provided. The system () includes a weather prediction station () configured to receive stationary observation data provided by a plurality of stationary weather stations () along with data from a plurality of input weather models () and generate unified weather model estimates based on the stationary observation data, the input weather model data, and a processor (). The processor () is configured to aggregate mobile observation data provided by a plurality of non-stationary sensors () and use the aggregated mobile observation data to adjust the weather model estimates.

A weather data system () with coded weather data is provided. The weather data system () includes an observation location (), the observation location () comprising a plurality of data sources () configured to provide observation data (). The observation location () is configured to at least one of code the observation data () into a coded observation data (') and provide the observation data () to a data aggregator () configured to code the observation data () into the coded observation data (&#x2032;).

Coded weather data

The present application describes a means for utilizing mobile sensors to obtain estimated weather observations for use in enhancing climatological databases. Such mobile sensor data is incorporated into a database also containing data from fixed reference sensors. The mobile sensor weather data is combined statistically to derive pseudo-observations to be added to the database. The data from sensors and from prior pseudo-observations are used to perform quality analysis of the data in the database and invalidate outlier data values. The remaining data is used to generate a climatology database that enables generation of more accurate weather forecasts.

Method and apparatus for forecasting weather

A path progression matching system and method that uses path progression to find a current position of a mobile device in an indoor environment and a path history to find the path of the mobile device to get to the current position. Embodiments of the system and method use path history information, constraints, and optimization measures such as the use of received signal strength indicator (RSSI) weighted correlation coefficients. Embodiments of the system and method include a unified probabilistic model that uses path history and allows multiple constraints to be applied simultaneously. Embodiments of the system and method also include a path progression module having a first-stage progression module, which finds a starting location for the path progression matching, a second-stage module, which begins building a path history, and a third-stage progression module, which uses the path history to find the current position and path.

Path progression matching for indoor positioning systems

The traditional minimum antenna area limit for synthetic aperture radar (SAR), imposed by ambiguity considerations, is eliminated by using a transmitter format providing distinguishable sub-pulses. Signal formats which are feasible for implementing such sub-pulses include frequency-division (i.e., a distinct frequency band is used for each sub-pulse), and code-division (i.e., sub-pulses occupying the same frequency band are grouped in distinguishable combinations). The nominal pulse period is divided into N sub-pulses, and the sub-pulse group is transmitted with the nominal pulse repetition frequency (f.sub.p). The range ambiguities are determined by the repetition rate of the sub-pulse group (f.sub.p) and the azimuth ambiguities are determined by the repetition rate of the sub-pulses (N.f.sub.p). The antenna is capable of sampling a Doppler bandwidth that is a factor of N times the traditional value and the antenna area can be reduced by a factor N from the limiting value presently used in SAR antenna design. A reduction in antenna length by a factor of N, for example, can be obtained at the expense of a signal-to-noise decrease of N and an increase in signal bandwidth by the same factor. Alternatively, the same antenna length reduction of N and an increase in signal-to-noise by a factor N can be obtained using the original bandwidth if the resolution is degraded by N.

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Boulder, CO, United States of America

William B Gail