Antenna arrays equipped with space-time adaptive processors (STAPs) are effective to maintain the integrity and functionality of global navigation satellite systems (GNSSs) in various applications. However, one of the major problems with existing space-time processing methods is that they can introduce significant biases into the GNSS receiver measurements. A distortionless STAP is proposed. It could not only suppress the interfering signals and enhance the GNSS signals, but also introduce no biases into the code and carrier phase measurements. The key idea behind the proposed method is ensuring linearity of the space-time processor response by constraining its coefficients. The effectiveness of the proposed method is verified by theoretical analysis and simulation results.

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An improved algorithm for power-inversion adaptive antenna arrays used in global navigation satellite systems (GNSS) receivers is proposed. Compared with traditional methods which select the reference element arbitrarily, the proposed method is capable of selecting the optimum reference element at signal acquisition stage. The criterion of the reference element selection is to maximise the acquisition test statistic results by developing the generalised likelihood ratio test detector. Monte Carlo simulation results show that the proposed method can improve the array performance significantly.