Target micro-motion parameter estimation method, system and device based on IEEMD and storage medium

Abstract

The invention discloses a target micro-motion parameter estimation method, system and device based on IEEMD and a storage medium. The method comprises the steps that an echo signal is acquired, and ahigh-resolution distance image of a target is obtained according to the echo signal; a plurality of scattering centers are obtained according to the high-resolution distance image, and a pulse of eachscattering center is acquired; envelope information of each scattering center is acquired through an IEEMD algorithm according to the pulses, and corresponding phase information is obtained accordingto the envelope information; phase unwrapping is performed on the phase information by using a least square method to obtain phase information after unwrapping, and a micro-distance curve of the target is obtained according to the phase information after unwrapping; and a target micro-motion parameter estimation value is obtained according to the micro-distance curve. According to the method, theenvelope information can be accurately extracted under the condition of a low signal-to-noise ratio or a low pulse repetition frequency through the IEEMD algorithm, Doppler ambiguity is effectively solved through the least square method, and the precision of target micro-motion parameter estimation is improved. The method can be widely applied to the technical field of radars.

Description

technical field [0001] The invention relates to the field of radar technology, in particular to an IEEMD-based method, system, device and storage medium for estimating micro-movement parameters of a target. Background technique [0002] The Improved Ensemble Empirical Mode Decomposition algorithm (hereinafter referred to as IEEMD) based on complementary adaptive noise is a new method for non-stationary and nonlinear signal analysis. This method not only absorbs the multivariate analysis advantages of wavelet transform, but also avoids the difficulty of selecting wavelet basis in wavelet transform, and has good local adaptability. [0003] The micro-Doppler phenomenon can reflect the dynamic characteristics of the target, which has great application value in the estimation of high-precision target parameters, and provides an important basis for target detection, target classification and recognition. The broadband radar high-precision ranging method represented by phase-deri...

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Problems solved by technology

[0004] The envelope information obtained by the traditional method based on envelope ranging, in the case of low signal-to-noise ratio or low pulse repetition frequency, the accuracy is not high, resulting in low accuracy of the estimated value of the target micro-motion parameters

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