Tensor-decomposition satellite navigation anti-interference method
A satellite navigation and tensor decomposition technology, applied in the field of satellite navigation, can solve the problems of restricting large-scale array engineering applications, unbearable matrix operations, and restricting the arrangement of scalar array elements, so as to improve the real-time performance of the system and be beneficial to engineering The effect of realizing and reducing the amount of system operation
Active Publication Date: 2017-08-15
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology
The current anti-interference technology mostly uses scalar arrays arranged periodically, and the distance between the array elements cannot be greater than half the wavelength of the satellite signal. If the distance is greater than half the wavelength, the beam pattern will produce grating lobes. arrangement of
[0004] In addition, the current anti-jamming technology mostly adopts the method of beamforming based on matrix solution. As the number of array elements increases, the dimension of the matrix also increases. For large-scale arrays, some commonly used FPGA or DSP chips will be unbearable for its matrix operations
Therefore, the engineering application of large-scale arrays in satellite navigation anti-jamming systems is limited
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[0026] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.
[0027] The present invention proposes a satellite navigation anti-jamming method based on tensor decomposition, which utilizes vector sensors to realize spatial arraying, breaking through the limitation of scalar array element spacing. In addition, in order to reduce the amount of calculation of the system, the present invention applies to high-dimensional large-scale arrays The tensor decomposition improves the real-time performance of the system. In order to make the vector array satisfy the tensor separability, this scheme adopts the array space layout to satisfy the linear translation invariant property, such as figure 1 shown.
[0028] The present invention comprises the following steps (corresponding flow process is as figure 2 shown):
[0029] a) Analog down-conve...
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The invention provides a tensor-decomposition satellite navigation anti-interference method. Spatial layout is realized via vector sensors, a tensor decomposition technology is used to form wave beams, a high-dimension characteristic of a tensor itself is used to decompose a polarized sensitive array that satisfies the linear translation invariance, low-dimension subarrays are obtained, and wave beams are formed for the subarrays respectively. Compared with a global wave beam formation technology, the dimension of an inverse seeking matrix is reduced to reduce the operand of the system effectively, the instantaneity of the system is improved, and the method is conducive to engineering realization.
Description
technical field [0001] The invention relates to a satellite navigation anti-jamming method, which belongs to the field of satellite navigation. Background technique [0002] In recent years, GNSS has been widely used in military and civilian fields and plays an increasingly important military role. However, because the terminal receiving equipment is far away from the satellite, the satellite signal is already extremely weak when it reaches the receiving surface of the array, and it is easily affected by space undesirable effects. The electromagnetic signal interference, and the interference suppression margin of the navigation receiver itself is very small. Therefore, the adaptive suppression technology based on various standard interference has been widely researched and applied. [0003] The array types of satellite navigation anti-jamming systems can be divided into scalar arrays and vector arrays in terms of antenna characteristics, and can be divided into periodic arra...
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CPCG01S19/21
Inventor 王伶刘龙谢坚张兆林粟嘉陶明亮
Owner NORTHWESTERN POLYTECHNICAL UNIV