Space-time anti-interference method based on variable diagonal loading capacity

Abstract

The invention discloses a space-time anti-interference method based on the variable diagonal loading capacity. The method comprises the following steps: step one, collecting global positioning system (GPS) satellite signals, and inputting the signals into a filter structure after being sampled; step two, conducting forward decomposition of a relevant subtraction multi-stage wiener filter on the signals, and recording a received signal and a reference signal of each stage; step three, replacing a real covariance matrix with a covariance matrix of the sampling signals; step four, calculating the diagonal loading range through a matrix inversion theorem, and further obtaining the diagonal loading capacity needing to be loaded through a covariance diagonal matrix element relationship; and step five, adding the diagonal loading capacity, conducting backward composition of the relevant subtraction multi-stage wiener filter, obtaining an optimal weight vector of the filter, and conducting adaptive filtering on current data. Compared with a multi-stage wiener filter, the improved relevant subtraction multi-stage wiener filter is low in operation quantity and storage quantity, and is suitable for systems of large dimensionality.

Description

technical field [0001] The invention proposes a space-time anti-jamming method based on variable diagonal loading, which belongs to the technical field of space-time self-adaptive array processing. Background technique [0002] With the widespread use of navigation satellite systems and the development of information warfare, precise navigation and guidance have become an urgent need in all aspects. Although the GPS system itself can overcome external interference to a certain extent, for the complex natural environment and specific man-made interference, the research on anti-interference technology has become a key problem that needs to be solved urgently. [0003] Adaptive filtering refers to using the results of the filter parameters obtained at the previous moment to automatically adjust the parameters of the filter at the current moment to adapt to the statistical characteristics of the signal and noise over time, so as to achieve optimal filtering. [0004] There are ...

AI Technical Summary

Problems solved by technology

However, since most of the currently used loading methods are fixed-value loading, in variable engineering applications, it is difficult to determine the size of the loading amount, which will reduce the anti-interference performance to a certain extent, and fail to achieve the purpose of improving the filtering performance.

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