U-Blox Ag

Christoph J Schmid

Etienne Favey

Paula Syrjärinne

Alexander Somieski

Daniel Ammann

A navigation receiver, a navigation system and a method of time stamping asynchronous sensor measurements is provided. Sensor measurement data is received at a first port. A signal pulse is received at a second port. The signal pulse represents a time of measurement according to a first time domain of the received sensor measurement data. Based on the received signal pulse, a timestamp according to a second time domain is generated. The generated timestamp is associated in the second time domain with the received sensor measurement data.

Time stamping asynchronous sensor measurements

A method of and a receiver for mitigating multipath interference in a global navigation satellite system. In accordance with an embodiment, GNSS signals are received from a plurality of satellites in at least two frequency bands. A likelihood indicator is determined which is indicative of how likely the received GNSS signals are affected by multipath interference. In response to the likelihood indicator, all GNSS signals from at least one frequency band of the at least two frequency bands are discounted. The received GNSS signals are processed by taking into account said discounting of all GNSS signals in the at least one frequency band. The discounting may include assigning less weight to the discounted frequency bands or disregarding each of the discounted frequency bands in their entirety.

Method of and receiver for mitigating multipath interference in a global navigation satellite system

A set of device parameters consisting of clock bias and position of a mobile device is determined without previous knowledge of the week number (WN) in that solutions of a set of equations derived from a least squares type weight function involving pseudoranges related to the device parameters via basic equations are attempted with a time of week (TOW) extracted from satellite signals and various week number candidates. A solution algorithm which iteratively solves the set of equations is used, each iteration step involving a linearization of the latter and resulting in corrections of the device parameters. After elimination of week numbers where the solution algorithm does not yield a solution a valid week number is selected from the remaining week numbers in that a deviation value is determined which reflects differential terms, i.e., differences between pseudorange values as measured and as derived from the set of device parameters according to the solution, e.g., by evaluation of the weight function. The week number yielding the smallest deviation value is selected. If the week number is confirmed by various checks the device parameters according to the corresponding solution are used, e.g., displayed, by the mobile device.

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Dietikon, Switzerland

Christoph J Schmid