A constellation planning system receives a request, from a client, to plan an optimal set of tasks for one or more satellites in a constellation of satellites and at least one ground station in a constellation of ground stations. The request includes a planning problem object. The system generates a status of the planning task describing a progress of the planning task, and returns the status to the client. If the status of a task is successful, then the client may retrieve the resulting schedule and publish it to the constellation.

A constellation planning system receives a request, from a client, to plan an optimal set of tasks for one or more satellites in a constellation of satellites and at least one ground station in a constellation of ground stations. The request includes a planning problem object. The system generates a status of the planning task describing a progress of the planning task, and returns the status to the client. If the status of a task is successful, then the client may retrieve the resulting schedule and publish it to the constellation.

Methods, systems, and apparatus for nanosatellite-based property monitoring are disclosed. A method includes receiving satellite data related to conditions of a property monitored by a monitoring system; determining, based on the satellite data, that the property is at risk from a threat; requesting, from a sensor of the monitoring system, sensor data related to the threat; receiving, from the sensor, the sensor data related to the threat; and based on analyzing the sensor data related to the threat, performing one or more monitoring system actions. The threat may include one of a weather hazard, a security hazard, or a property damage hazard. The monitoring system actions can include sending an instruction to adjust a sensor or component of the monitoring system and can include sending, to a user device, a notification that the property is at risk from the threat.

Methods, systems, and apparatus for nanosatellite-based property monitoring are disclosed. A method includes receiving satellite data related to conditions of a property monitored by a monitoring system; determining, based on the satellite data, that the property is at risk from a threat; requesting, from a sensor of the monitoring system, sensor data related to the threat; receiving, from the sensor, the sensor data related to the threat; and based on analyzing the sensor data related to the threat, performing one or more monitoring system actions. The threat may include one of a weather hazard, a security hazard, or a property damage hazard. The monitoring system actions can include sending an instruction to adjust a sensor or component of the monitoring system and can include sending, to a user device, a notification that the property is at risk from the threat.

This application relates to a data signal processing method. In one aspect, the method includes receiving a data signal from at least one global navigation satellite system (GNSS) satellite and obtaining a pseudo-range of the at least one GNSS satellite by using the data signal. The method may also include obtaining a range-acceleration based on the pseudo-range. The method may further include applying, to the data signal, a variance obtained by assigning a weight according to a noise model to the range-acceleration.

This application relates to a data signal processing method. In one aspect, the method includes receiving a data signal from at least one global navigation satellite system (GNSS) satellite and obtaining a pseudo-range of the at least one GNSS satellite by using the data signal. The method may also include obtaining a range-acceleration based on the pseudo-range. The method may further include applying, to the data signal, a variance obtained by assigning a weight according to a noise model to the range-acceleration.

The technology disclosed teaches a method of path planning using a GNSS Forecast, requesting the GNSS Forecast of signal obscuration on behalf of a vehicle travelling in a region, receiving and using the Forecast to plan a path or route that has GNSS signals available over the path or route that satisfy a predetermined criterium. Also taught are GNSS Forecasts and planned paths or routes for a plurality of flying vehicles used by a flight control system, requesting the GNSS Forecast of signal obscuration on behalf of a flying autonomous or automated vehicle travelling in a region, receiving and using the Forecast and to plan a path with GNSS signals available over the path that satisfy predetermined criteria including accommodating real-time changes in flight paths, without leaving space, that satisfies the predetermined criteria. Also taught is certifying performance of GNSS receivers used on a flying vessel.

Methods, apparatus, and systems for detecting signals interfering with satellite signaling and determining a location of the interfering source are disclosed. In one example aspect, a method for detecting a signal directed at interfering with satellite signaling includes receiving, by a receiving node, a signal from a signal source, the signal produced by the signal source disguised as a satellite signal; determining an estimated position of the receiving node based on an orbital position of the satellite and a characteristic of the signal; comparing the estimated position of the receiving node with a reference position of the receiving node; determining that the signal source is a spoofing source different than the satellite; and determine a location of the spoofing source in part based on the estimated position.

The technology disclosed teaches a method of improving accuracy of a GNSS receiver that has a non-directional antenna, with the receiver sending CDN a request for predictive data for an area that includes the receiver. Responsive to the query, the method includes receiving data regarding LOS visibility for the receiver with respect to individual satellites, and the receiver using the data for satellite selection, for choosing some and ignoring other individual satellites. Also disclosed is using the data to exclude from satellite selection at least one individual satellite based on lack of LOS visibility to the individual satellite. Further disclosed is recognizing and rejecting spoofed GNSS signals received by a GNSS receiver that has a non-directional antenna, in response to a CDN response to a request for predictive data for an area that includes the receiver, with the receiver comparing the data with measures of signals received from individual satellites.

An example method includes obtaining, by a global navigation satellite system (GNSS) processor of a mobile computing device and based on signals received from GNSS satellites, a stream of I/Q samples; providing, by the GNSS processor and for another processor, the stream of I/Q samples; receiving, by the GNSS processor and from the other processor, aiding data that is determined based on the stream of I/Q samples, wherein the aiding data, that includes: a code phase, a frequency, and a time for a GNSS satellite of the GNSS satellites; and processing, by the GNSS processor and based on the aiding data, the stream of I/Q samples to determine a first fix for the mobile computing device.