An improved detecting algorithm of weak signals based on polarization-sensitive array

Aiming at the problem that the Global Navigation Satellite System (GNSS) is confronted with great challenges in terms of continuity, integrity and usability due to the complex electromagnetic environment, an improved signal detecting algorithm of weak interference based on polarization-sensitive array was proposed. Through the joint-processing in space domain, frequency domain and polarization domain of the real-time data received from antenna elements and the descending processing of eigenvalues in each frequency bin, the weak signals in strong interference environment could be accurately separated and identified by the distribution curve of eigenvalues in the whole frequency domain. The results show that the power consumption and computational complexity were reduced greatly through the improved minimum description length (MDL) criterion based on multistage wiener filter, as the step of eigen-decomposition was omitted. Simulation results also demonstrate the efficiency and accuracy of the proposed method. The improved algorithm can be applied to different antenna arrays, keeps highly effective detecting probability even with amplitude and phase errors, and has high engineering practice value.