Envelope alignment rapid implementation method for GPU (Graphics Processing Unit) parallel acceleration
A technology of envelope alignment and implementation method, applied in the field of fast realization of envelope alignment accelerated by GPU parallel, can solve problems such as unfavorable real-time ISAR imaging, low computing efficiency, etc., and achieve the effect of reducing the number of iterations and fast envelope alignment
Active Publication Date: 2021-06-18
XIDIAN UNIV
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Problems solved by technology
However, the cumulative adjacent correlation envelope alignment method must be processed serially, and the operation efficiency is low, which is not conducive to real-time ISAR imaging, which makes the algorithm application have certain limitations.
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[0024] Embodiments of the present invention will be described in detail below in conjunction with examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention.
[0025] refer to figure 2 and image 3 , a kind of GPU parallel accelerated envelope alignment fast implementation method provided by the present invention comprises the following steps:
[0026] The input data to be processed by the GPU in the present invention is target echo data after distance compression, which is transmitted from the computer memory of the radar system to the GPU for envelope alignment processing.
[0027] Step 1, set the number of azimuth echoes of the target echo data after range compression as M, and the number of sampling points in the range direction as N; then open up a data storage with a size of M×N×2×4 bytes in the GPU global memory Area D...
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The invention relates to the technical field of radar signal processing, and discloses an envelope alignment rapid implementation method for GPU (Graphics Processing Unit) parallel acceleration, which is used for carrying out parallel optimization on a cumulative adjacent correlation envelope alignment algorithm by utilizing powerful hardware performance of a GPU, and comprises the following steps of: firstly, carrying out interpolation processing on an observation target echo distance compression result, selecting a reference echo envelope, and carrying out parallel processing on an architecture by utilizing the GPU, meanwhile, calculating correlation function values and deviation values between other echoes and the reference echo envelope, and achieving coarse alignment; calculating an average envelope of all echoes after coarse alignment as a reference envelope, and calculating correlation function values and deviation values of all echoes and the reference envelope in parallel by using the GPU to realize fine alignment; and finally, iterating the fine alignment process until iteration is ended. According to the method, on the basis of ensuring the envelope alignment effect, the complexity of an envelope alignment algorithm is greatly reduced, the calculation efficiency is improved, and support is provided for real-time ISAR imaging.
Description
technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a method for quickly implementing envelope alignment accelerated by GPU parallelism. Background technique [0002] In the ISAR imaging process, the motion of the target includes two parts: the translational component and the rotational component. The rotational component is the basis for realizing ISAR azimuth imaging, while the translational component will cause the deviation and initial phase error of the target envelope in different echoes. . Envelope correction is the premise of subsequent initial phase error correction and azimuth imaging. The commonly used methods can be divided into two categories: parametric envelope alignment method and non-parametric envelope alignment method. [0003] The parametric method usually uses high-order polynomials to model the target translational component, and solves the polynomial parameters through optimization to achiev...
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IPC IPC(8): G06T1/20
CPCG06T1/20
Inventor 周峰袁万里刘磊白雪茹石晓然樊伟伟
Owner XIDIAN UNIV