GNSS Interference Direction Improvements Using Signal Space

Signal space, which is a linear algebra construct, has proven itself to be very useful in a variety of applications. In spatial separation applications, it is simple to put all the valid and interference signals into a vector where each signal is in its own dimension and separated from the other signal dimensions. This signal vector is then mapped using a direction matrix onto an antenna array vector. By inverting this mapping, it is possible to use the measured antenna vector to derive the separated valid and interference signals. The direction to the interference signal needs to be known accurately, otherwise the inverse mapping will be inaccurate which will lead to some leakage of the interference signal into the valid GNSS signals. It is possible to use a minimization routine that varies the direction of the interference signal to minimize its leakage into the valid signal dimensions. This minimization process improves the interference signal direction and its separation from the valid signals. This novel approach allows GNSS to function in very high interference signal environments.