University of Alberta

Novatel Inc.

Robert Hang

Anthony Charles Rapley

Christian B Schlegel

Bruce F Cockburn

Stephen Bates

Vincent Gaudet

Paul Andrew Goud

Joyce Chidinma Chidiadi

Sheryl Howard

Systems and methods are described for classification of interference for GNSS receivers. One or more neural networks are utilized to classify RF signal data received by a GNSS receiver. The classification associates the RF signal data with an RF environment. Appropriate interference mitigation techniques can be implemented by the receiver based on the classification.

GNSS-receiver interference detection using deep learning

An architecture and a method are provided for decoding codewords for codes such as low density parity check (LDPC) codes. An iterative decoding algorithm such as the Belief Propagation Algorithm (BPA) is employed that attempts to correct errors in an input block of symbols via a structure containing two sets of nodes through node processing and the passing of messages between nodes. Message passing and node processing is performed in a digit-serial manner instead of a bit-parallel manner.

Method and apparatus for digit-serial communications for iterative digital processing algorithms

Growing community of inventors

Calgary, Canada

Robert Hang