GNSS cascade adaptive multi-beam forming method

Abstract

The invention relates to a GNSS cascade adaptive multi-beam forming method and belongs to the field of satellite navigation. The method comprises two parts of whitening processing and beam forming, the whitening processing completes antenna end interference suppression, the beam forming completes receiver end beam forming, and the whitening processing comprises autocorrelation matrix calculation, autocorrelation matrix square root calculation, square root inversion operation and data conversion processing; the beam weighting comprises weight transformation processing and beam weighting. Compared with a traditional GNSS beam forming method, the scheme can separate anti-interference processing from beam weighting, so the anti-interference processing of an antenna end does not need to be assisted by prior information such as satellite direction and antenna attitude, and a receiver end is easy to achieve space, time and frequency three-dimensional integrated searching and tracking; and meanwhile, the autocorrelation matrix square root inversion algorithm adopted by the scheme is beneficial to improving the odd interference suppression degree of the autocorrelation matrix and improving anti-interference stability of the system.

Description

technical field [0001] The invention belongs to the field of satellite navigation, and in particular relates to a GNSS cascade adaptive multi-beam forming method. Background technique [0002] Global Navigation Satellite System (GNSS, Global Navigation Satellite System) is the pillar of the current satellite navigation field. With the development of satellite navigation jamming technology in modern naval battlefields, the strong suppression jamming power for satellite navigation receiver antennas is getting stronger and stronger. Traditional adaptive nulling antennas can only suppress suppressive interference but cannot increase signal power. [0003] The traditional adaptive beamforming technology in the existing technology combines anti-jamming and beamforming into one, and it is difficult to separate the two independent parts. The receiver needs to provide beamforming prior information for the anti-jamming antenna, and the receiver and the antenna are seriously coupled. ...

AI Technical Summary

Problems solved by technology

However, the polling adaptive filtering process of this method requires adaptive filtering for each signal of the array, or the resource overhead is large or the real-time performance is poor, which is not conducive to engineering implementation, and the despreading and demodulation of satellite navigation signals cannot be improved before beamforming. The sensitivity of loop tracking (the key process of despreading and demodulation) is not conducive to the receiver's three-dimensional integrated search and tracking of space, time and frequency, and cannot take advantage of the three-dimensional tracking

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