Rapid adaptive iteration method for achieving Doppler wave beam sharpening imaging

Abstract

The invention discloses a rapid adaptive iteration method for achieving Doppler wave beam sharpening imaging. According to the invention, by use of covariance matrix rapid calculation and covariance matrix rapid inversion, super-resolution Doppler wave beam sharpening imaging of angles in forward squint regions of aircrafts like airplanes, missiles and the like is achieved, and a problem of high complexity of covariance matrix solving and covariance matrix inversion operation in the traditional direct iteration adaptive method is solved. The method is characterized in that, based on the problems of covariance matrix calculation and covariance matrix inversion in the iteration adaption, by use of properties of a Toeplitz matrix and a Hermitian matrix, the matrix is rapidly obtained by solving a row of elements; by use of the Gohberg Semencul (GS) type decomposition method, rapid solving of inverse matrix of the covariance matrix is achieved; and it is achieved that the Doppler wave beam sharpening imaging of the iteration adaptive method occupies fewer operation resources in engineering application and is quite highly efficient.

Description

Technical field [0001] The invention relates to the field of radar detection and imaging, and is particularly suitable for scanning radar Doppler beam sharpening imaging. Background technique [0002] In the existing pulse Doppler radar system, in the oblique forward direction of the carrier, the Doppler beam sharpening imaging method is usually used to realize the imaging observation of the forward squint area. This method utilizes the Doppler phase change law produced by the mutual movement between the carrier and the target, and improves the azimuth imaging resolution of the radar oblique forward and squint area through the signal processing method. In the traditional Doppler beam sharpening imaging method, the Fast Fourier Transform (FFT) method is used to estimate the Doppler phase change caused by the relative motion of the platform and the target, but the radar azimuth echo is caused by the antenna pattern. The resulting low-pass filtering effect results in lower spectral...

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Problems solved by technology

[0003] In order to improve the imaging quality of Doppler beam sharpening, in the literature "Qi L, Zheng M, Yu W, et al. Super-resolution Doppler beam sharpening imaging based on an iterative adaptive approach [J]. Remote Sensing Letters, 2016, 7( 3):259-268.", a method based on iterative adaptive super-resolution spectrum estimation is adopted, which is applied to Doppler beam sharpening imaging, compared with the traditional Fast Fourier Transform (FFT) method , this method improves the imaging resolution, but it has the disadvantages of high computational complexity, which is not conducive to engineering implementation

In the paper "Yongchao Zhang, Wenchao Li, Yin Zhang. A Fast Iterative Adaptive Approach for Scanning Radar Angular Superresolution, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.", the author proposes a fast iterative approach based on fast matrix inversion Adaptive (F-IAA) method, the operation matrix of this method must have specific requirements, not suitable for the operation matrix constructed during Doppler beam sharpening imaging

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