A network measurement device includes a display control unit that displays location information stored in a location information table and a setting control unit that sets the location information selected from the displayed location information as positioning start location information of a moving destination, and has a configuration of, after setting the positioning start location information, executing positioning at the moving destination based on reception signal information from a GNSS and measuring a time synchronization error between reference time information acquired from the GNSS and reference time information under test used by an apparatus in a location of the moving destination by comparing the reference time information and the reference time information under test.

A network measurement device includes a display control unit that displays location information stored in a location information table and a setting control unit that sets the location information selected from the displayed location information as positioning start location information of a moving destination, and has a configuration of, after setting the positioning start location information, executing positioning at the moving destination based on reception signal information from a GNSS and measuring a time synchronization error between reference time information acquired from the GNSS and reference time information under test used by an apparatus in a location of the moving destination by comparing the reference time information and the reference time information under test.

An exemplary virtual boundary system determines a refined geolocation of a tracking device based on a positioning signal and a correction signal that are accessed from distinct signal sources. The virtual boundary system compares the refined geolocation of the tracking device and a geographic boundary. Then, based on the comparing of the refined geolocation and the geographic boundary, the virtual boundary system provides an alert indicative of the refined geolocation with respect to the geographic boundary. Corresponding methods and systems are also disclosed.

An exemplary virtual boundary system determines a refined geolocation of a tracking device based on a positioning signal and a correction signal that are accessed from distinct signal sources. The virtual boundary system compares the refined geolocation of the tracking device and a geographic boundary. Then, based on the comparing of the refined geolocation and the geographic boundary, the virtual boundary system provides an alert indicative of the refined geolocation with respect to the geographic boundary. Corresponding methods and systems are also disclosed.

A method is for detecting loss-of-lock of a GNSS (Global Navigation Satellite System) signal tracking loop based on frequency compensation, comprising the following steps of: performing multi-channel frequency compensation on I-channel and Q-channel signals after down-conversion, pseudo-code stripping and integration clearing; then, performing coherent integration and non-coherent integration for a fixed time, and taking a maximum value of non-coherent integration results as a signal value; performing parabolic interpolation frequency identification, and taking an average value of the non-coherent integration results with the frequency differences of +/−50 Hz and +/−100 Hz as a noise value; and finally, calculating a ratio of the signal value to the noise value, and performing loss-of-lock detection with the ratio as a detection volume.

A method is for detecting loss-of-lock of a GNSS (Global Navigation Satellite System) signal tracking loop based on frequency compensation, comprising the following steps of: performing multi-channel frequency compensation on I-channel and Q-channel signals after down-conversion, pseudo-code stripping and integration clearing; then, performing coherent integration and non-coherent integration for a fixed time, and taking a maximum value of non-coherent integration results as a signal value; performing parabolic interpolation frequency identification, and taking an average value of the non-coherent integration results with the frequency differences of +/−50 Hz and +/−100 Hz as a noise value; and finally, calculating a ratio of the signal value to the noise value, and performing loss-of-lock detection with the ratio as a detection volume.

A method of processing signal paths includes receiving an estimated location for a GNSS receiver in an environment. The method also includes generating a plurality of candidate positions about the estimated location where each candidate position corresponds to a possible actual location of the GNSS receiver. The method further includes, for each available satellite at each candidate position, modeling a plurality of candidate signal paths by ray-launching a raster map of geographical data. Here, the plurality of candidate signal paths includes one or more reflected signal paths. At each candidate position, the method also includes comparing, the plurality of candidate signal paths modeled for each available satellite at the respective candidate position to measured GNSS signal data from the GNSS receiver and generating a likelihood that the respective candidate position includes the actual location of the GNSS receiver based on the comparison.

A method of processing signal paths includes receiving an estimated location for a GNSS receiver in an environment. The method also includes generating a plurality of candidate positions about the estimated location where each candidate position corresponds to a possible actual location of the GNSS receiver. The method further includes, for each available satellite at each candidate position, modeling a plurality of candidate signal paths by ray-launching a raster map of geographical data. Here, the plurality of candidate signal paths includes one or more reflected signal paths. At each candidate position, the method also includes comparing, the plurality of candidate signal paths modeled for each available satellite at the respective candidate position to measured GNSS signal data from the GNSS receiver and generating a likelihood that the respective candidate position includes the actual location of the GNSS receiver based on the comparison.

A filter element analysis system for analyzing a filter element within a vehicle, the system including various filter sensors so as to provide information regarding various filter element parameters, a locator which configured provide vehicle position information such that conditions regarding the vehicle environment can be tracked and correlated to the location, as well as a means for transmitting information to a remote server for analysis and tracking of the filter element information with regard to environmental conditions such that a filter element status, remaining filter life, or particle load and replacement timeline can be calculated and updated so as to provide more accurate predictive models of the filter element conditions. As well as provide alerts regarding the need and scheduling of replacement or cleaning of a particular filter element.

A filter element analysis system for analyzing a filter element within a vehicle, the system including various filter sensors so as to provide information regarding various filter element parameters, a locator which configured provide vehicle position information such that conditions regarding the vehicle environment can be tracked and correlated to the location, as well as a means for transmitting information to a remote server for analysis and tracking of the filter element information with regard to environmental conditions such that a filter element status, remaining filter life, or particle load and replacement timeline can be calculated and updated so as to provide more accurate predictive models of the filter element conditions. As well as provide alerts regarding the need and scheduling of replacement or cleaning of a particular filter element.