Micro-doppler analysis of nutation target in ballistic midcourse

Yao, Huang; Li, X. X.; Sun, Wen; Y., X.

doi:10.1049/cp.2013.0461

Cited by 1 publication

(1 citation statement)

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“…In [6], the micro‐Doppler frequencies of the rotating target and the human body were estimated by S‐transformation, which integrated the adaptive window length rules into STFT. Since the traditional Cohen‐like time–frequency method encountered the cross‐term problem when processing multi‐component signals, the smooth pseudo‐Wigner‐Ville distribution (SPWVD) method was employed to estimate the micro‐Doppler frequency of nutation targets [7]. In [8], Empirical Mode Decomposition (EMD) and SPWVD were combined to estimate the instantaneous frequency of the swing target and achieved better performance than SPWVD.…”

Section: Introductionmentioning

confidence: 99%

Micro‐Doppler frequency estimation and association via the inverse‐free complex SBL TVAR method

Dai

Liu

et al. 2021

IET Radar Sonar & Navi

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A micro-Doppler frequency estimation and association algorithm of the space target based on the time-varying autoregressive (TVAR) model is proposed herein. The calculation time of the existing algorithms grows significantly with the problem size, and micro-Doppler frequencies of different scattering centres are associated incorrectly where the frequencies intersect. The echo of the space target is modelled by the TVAR model, then the TVAR coefficients and instantaneous frequencies are estimated through the fast sparse Bayes learning (SBL) algorithm, finally, the micro-Doppler frequencies of different scattering centres are associated in the frequency-frequency change rate domain. The effectiveness and rapidity of the proposed algorithm is demonstrated by simulation results.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Introductionmentioning

confidence: 99%