Multi-objective angle ambiguity resolving method based on rotating interferometer

Abstract

The invention discloses a multi-objective angle ambiguity resolving method based on a rotating interferometer. The multi-objective angle ambiguity resolving method mainly solves the problem that two-dimensional angle estimation of multi-objective signal sources working at the same frequency and same time cannot be solved in the prior art. The multi-objective angle ambiguity resolving method is implemented by the steps of: acquiring a phase difference matrix between array elements of a multichannel rotating interferometer; acquiring interference data matrixes received by the multichannel rotating interferometer at different moment during the rotation process; performing forward spatial smoothing processing on the data matrixes, and calculating smoothed signal autocorrelation matrixes; performing eigenvalue decomposition on the autocorrelation matrixes, calculating a spectral function, and acquiring an angle ambiguity curve distribution diagram through spectrum peak searching; and projecting angle ambiguity curves into a parameter space, and accumulating parameters to obtain two-dimensional angle estimation of different objectives. The multi-objective angle ambiguity resolving methodcan simultaneously resolve ambiguity of two-dimensional angles of different objectives, calculates unambiguous two-dimensional angle information of each objective, and is used for estimating two-dimensional angles of satellite-borne rotating interferometers in space electronic reconnaissance.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a multi-target angle defuzzification method based on a rotating interferometer, which can be used for two-dimensional angle estimation of a spaceborne rotating interferometer, and further for space electronic reconnaissance. Background technique [0002] With the growth of demand and the development of science and technology, electronic reconnaissance satellites have become an important means of obtaining various intelligence, and have an irreplaceable position in modern warfare. Target location is an important application of electronic reconnaissance satellite, and the target position obtained by it is one of the most important information in reconnaissance information. How to improve the positioning accuracy is the key to the target positioning system. [0003] For the traditional processing method: (1) single-star angle measurement positioning, its advanta...

AI Technical Summary

Problems solved by technology

[0003] For the traditional processing method: (1) single-star angle measurement positioning, its advantage is that the system is easy to implement, but due to the limitation of antenna aperture and load, the direction finding accuracy is not high, and long-term observation is required, and the positioning accuracy of high-speed moving targets is relatively low. Poor, unable to locate short-term targets

(2) The phase interferometer direction finding technology has the advantages of high precision, real-time performance, and low system complexity. However, this method has the contradiction between the unambiguous viewing angle range and the angle measurement accuracy. The longer the baseline, the higher the angle measurement accuracy. produces more blur

(3) The traditional angle measurement and defuzzification algorithm based on the rotating interferometer can effectively solve the contradiction between the unambiguous viewing angle range and the angle measurement accuracy. The two-dimensional angle estimation can be performed through the phase difference sequence measured at different rotation angles, and the working time can be adjusted. Different same-frequency target source signals are detected, and the multi-target angle estimation is completed through the time difference of each target source. However, it is impossible to distinguish multiple target signal sources working at the same frequency at the same time, and the algorithm fails.

Due to the load limitation, the number of array elements in the spaceborne array is small. When the array is sparsely arranged, there will be angle ambiguity, and the target angle estimation cannot be realized.

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