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
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[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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