The present disclosure provides an integrity monitoring method of ionosphere gradient based on kinematical to kinematical platform, comprising step 1, constructing geometry-free and ionospheric amplification type detection statistics, based on original triple-frequency carrier phase observations, step 2, adjusting a detection threshold based on a required monitoring false alarm rate, and determining whether the detection statistics are less than the adjusted detection threshold, step 3, comparing a calculated miss-detection rate and a required miss-detection rate, and determining whether the calculated miss-detection rate are less than the required miss-detection rate, and step 4, if the detection statistics are less than the adjusted detection threshold and the calculated miss-detection rate are less than the required miss-detection rate, considering the ionosphere gradient is normal.

An augmentation information adjustment unit (102) reduces an amount of information in augmentation information by combining: update cycle adjustment processing (1021) to set an update cycle of the augmentation information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing (1022) to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing (1023) to reduce a bit count of the error value for each error value. An augmentation information output unit (103) outputs, to an output destination, augmentation information after being reduced in the amount of information by the augmentation information adjustment unit (102).

An augmentation information adjustment unit (102) reduces an amount of information in augmentation information by combining: update cycle adjustment processing (1021) to set an update cycle of the augmentation information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing (1022) to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing (1023) to reduce a bit count of the error value for each error value. An augmentation information output unit (103) outputs, to an output destination, augmentation information after being reduced in the amount of information by the augmentation information adjustment unit (102).

Methods and apparatuses for a receiver of signals from one or more satellite navigational systems to detect and/or eliminate impaired satellites from the set of estimated/acquired satellites in view are described. One method includes acquiring coarse position, time, and frequency values for each of a plurality of satellites from one or more satellite navigational systems, the plurality of satellites being those currently estimated to be in view of the receiver; determining whether one or more of the acquired coarse values are within a minimum range; and if it is determined that the one or more acquired coarse values are within the minimum range: determining a pseudo-true peak of a position domain correlogram comprising Line of Sight (LOS) vectors of each of the plurality of satellites; and identifying any satellite whose cross-correlation peak is beyond a maximum distance from the pseudo-true peak as an impaired satellite.

A method, apparatus and computer program product monitor the quality of correction data. In a method, first parameter(s) associated with a navigation satellite or propagation of signals transmitted by the navigation satellite are predicted based upon prior data including prior correction data associated with the navigation satellite or the propagation of signals transmitted thereby. The method derives second parameter(s) associated with the navigation satellite or the propagation of signals transmitted thereby based upon second data including second correction data associated with the navigation satellite or the propagation of signals transmitted thereby. The second data including the second correction data is more recent than the prior data including the prior correction data. The method compares the first parameter(s) to the second parameter(s) and, based on the comparing, generates or provides information regarding the quality of the correction data.

Some embodiments of the invention relate to generating correction information based on global or regional navigation satellite system (NSS) multiple-frequency signals observed at a network of reference stations, broadcasting the correction information, receiving the correction information at one or more monitoring stations, estimating ambiguities in the carrier phase of the NSS signals observed at the monitoring station(s) using the correction information received thereat, generating residuals, generating post-broadcast integrity information based thereon, and broadcasting the post-broadcast integrity information. Other embodiments relate to receiving and processing correction information and post-broadcast integrity information at NSS receivers or at devices which may have no NSS receiver, as well as to systems, NSS receivers, devices which may have no NSS receiver, processing centers, and computer programs. Some embodiments may for example be used for safety-critical applications such as highly-automated driving and autonomous driving.

A system and method are provided for determining a distribution of a position error of a receiver of localization signals, the signals being sent by at least one satellite. The system includes the receiver, one position of which is known as first position and is affected by an error, known as first error, having a distribution, known as first distribution, a first device for determining positions of the satellite(s), known as second positions, a device for transmitting the second position of the first determination device to the receiver, and the first distribution is defined by at least one first cumulant, of higher-than-second order.

A system and method are provided for determining a distribution of a position error of a receiver of localization signals, the signals being sent by at least one satellite. The system includes the receiver, one position of which is known as first position and is affected by an error, known as first error, having a distribution, known as first distribution, a first device for determining positions of the satellite(s), known as second positions, a device for transmitting the second position of the first determination device to the receiver, and the first distribution is defined by at least one first cumulant, of higher-than-second order.

The disclosure relates to enhancing performance at a device that implements a stand-alone global navigation satellite system (GNSS) receiver. In particular, a GNSS-enabled mobile device may obtain positioning data from one or more non-satellite sources and determine satellite signal quality in a surrounding environment. As such, in response to determining that the environment surrounding the GNSS-enabled mobile device is a weak satellite signal environment, the GNSS-enabled mobile device may trigger a process to provide the positioning data obtained from the one or more non-satellite sources to the device that implements the stand-alone GNSS receiver such that performance at the device that implements the stand-alone GNSS receiver may be enhanced in poor satellite signal environments.

The disclosure relates to enhancing performance at a device that implements a stand-alone global navigation satellite system (GNSS) receiver. In particular, a GNSS-enabled mobile device may obtain positioning data from one or more non-satellite sources and determine satellite signal quality in a surrounding environment. As such, in response to determining that the environment surrounding the GNSS-enabled mobile device is a weak satellite signal environment, the GNSS-enabled mobile device may trigger a process to provide the positioning data obtained from the one or more non-satellite sources to the device that implements the stand-alone GNSS receiver such that performance at the device that implements the stand-alone GNSS receiver may be enhanced in poor satellite signal environments.