Robust Space-Time Adaptive Processing Method for GNSS Receivers in Coherent Signal Environments

Coherent Multiuser Space-Time Communications: Optimum Receivers and Signal Design

The jointly optimum receiver is obtained for multiuser communications in a frequency non-selective Rayleigh fading channel with NT transmit antennas per user and NR receive antennas. Based on a general analysis of quadratic receivers in zero-mean complex Gaussian vectors, asymptotically tight expressions (for high SNR) for the pair-wise error probabilities are derived. Consequently, it is shown...

Signal-Level Integrity Monitoring Metric for Robust GNSS receivers

This paper deals with the problem of detecting distortions on the received signals of Global Navigation Satellite Systems (GNSS) that may degrade the measurements accuracy and compromise the overall receiver operation. Amongst others, multipath and spoofing are two of the most concerning threats for the robustness of GNSS receivers. These two phenomena have similar effects on the received signa...

GNSS Spoofing Mitigation in Multipath Environments Using Space-Time Processing

Civilian GNSS signal structures are publicly known and they are received with low power on the earth surface. These make GNSS signals susceptible to spoofing attacks. Hence, the requirement for proper mitigation techniques becomes a must in current and future GNSS receivers for robust, accurate and reliable positioning. This paper proposes a new antispoofing technique using an antenna array in ...

An Adaptive INS-Aided PLL Tracking Method for GNSS Receivers in Harsh Environments

As the weak link in global navigation satellite system (GNSS) signal processing, the phase-locked loop (PLL) is easily influenced with frequent cycle slips and loss of lock as a result of higher vehicle dynamics and lower signal-to-noise ratios. With inertial navigation system (INS) aid, PLLs' tracking performance can be improved. However, for harsh environments with high dynamics and signal at...

Contributions to Robust Adaptive Signal Processing with Application to Space-Time Adaptive Radar