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Coherent Accumulation Method for Variable Acceleration Moving Target Based on Empirical Mode Decomposition and Iterative Endpoint Fitting

A technology of empirical mode decomposition and moving targets, applied in radio wave measurement systems, instruments, etc., can solve problems such as coherent accumulation, and achieve the effect of improving signal-to-noise ratio, realizing long-term accumulation, and improving target detection performance

Active Publication Date: 2021-01-08
BEIHANG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to use the amplitude and phase information of the moving target echo at the same time to solve the problem of coherent accumulation of the sea target when it moves at variable acceleration, and to provide a phase analysis of the variable acceleration moving target based on empirical model decomposition and iterative endpoint fitting. Parameter accumulation method

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  • Coherent Accumulation Method for Variable Acceleration Moving Target Based on Empirical Mode Decomposition and Iterative Endpoint Fitting
  • Coherent Accumulation Method for Variable Acceleration Moving Target Based on Empirical Mode Decomposition and Iterative Endpoint Fitting
  • Coherent Accumulation Method for Variable Acceleration Moving Target Based on Empirical Mode Decomposition and Iterative Endpoint Fitting

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Embodiment Construction

[0021] Refer to the attached figure 1 , the processing flow of the present invention specifically includes: extracting the Doppler frequency of the data through an empirical mode decomposition algorithm; using an iterative endpoint fitting algorithm to segment the data, and extracting the motion parameters corresponding to each segment of data; Spectrum shifting; accumulation using fast Fourier transform. Each step is described in detail below.

[0022] 1. Based on the Doppler frequency extraction of the Empirical Mode Decomposition (EMD) algorithm, the Doppler frequency of the signal is estimated.

[0023] The purpose of EMD is to decompose the signal S(t) into an n-order intrinsic mode function (Intrinsic Mode Function, IMF) component c i (t) and the trend component r n (t), the original signal S(t) can represent their combination in a mathematical sense, that is

[0024]

[0025] The decomposed IMF component, as its order increases, the corresponding frequency range ...

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Abstract

The invention relates to a variable accelerated motion target coherent accumulation method based on empirical mode decomposition and iterative endpoint fitting. The method can be used for detection of a variable accelerated motion target in a complex background, and belongs to the fields of radar signal processing and target detection. The method comprises the following steps of 1) extracting a Doppler frequency of data through an empirical mode decomposition algorithm; 2) segmenting the data by using an iterative endpoint fitting algorithm, and extracting a motion parameter corresponding to each piece of data; 3) carrying out frequency spectrum shifting on the segmented data; and 4) realizing accumulation through fast Fourier transform. In the invention, the variable accelerated motion of the target can be divided into multiple sections of uniform acceleration motions, target energy can be effectively accumulated by frequency spectrum shifting and the fast Fourier transform of the signal, and a target signal-to-clutter ratio can be improved. Through the processing, a detection capability of a weak and small target in a complex background can be increased.

Description

Technical field: [0001] The invention belongs to the field of radar signal processing and target detection. More specifically, the invention relates to a method for coherent accumulation of variable-acceleration moving targets based on empirical mode decomposition and iterative endpoint fitting algorithm, which can be used to improve the speed of variable-acceleration motion in complex backgrounds. The signal-to-clutter ratio of the target can be improved to improve the target detection performance in complex backgrounds. Background technique: [0002] When the shore-based radar observes the sea, due to the small grazing angle, the echo strength of the weak target signal is very weak compared with the background noise and clutter, resulting in a very low signal-to-clutter ratio after the matched filter, which is manifested by the signal being overwhelmed by sea clutter. Submerged, which brings great challenges to the traditional constant false alarm detection. In this case,...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/414
Inventor 王文光张逸松
Owner BEIHANG UNIV
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