Efficient Estimation of the Helicopter Blade Parameter by Independent Component Analysis

Choi, In-Oh; Kang, Ki-Bong; Jung, Jin‐Myung; Park, Sang-Hong

doi:10.1109/access.2020.3019506

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Micro-motion will cause non-linear and time-varying Doppler modulation in the echo, called micro-Doppler [1]. Since micro-Doppler contains rich information of the target, it is widely used in target recognition [2,3].…”

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%

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 Comparison of Three Swarm-Based Optimization Algorithms in Wind Turbine Radar Clutter Micro-Motion Parameters Estimation

Zhang¹,

Zhang²,

Zhang³

et al. 2021

2021 3rd International Conference on Video, Signal and Image Processing

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Clutter Suppression and Rotor Blade Feature Extraction of a Helicopter Based on Time–Frequency Flash Shifts in a Passive Bistatic Radar

Zhou¹,

Wang²,

Wang

et al. 2022

Atmosphere

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This paper presents a passive bistatic radar (PBR) configuration using a global navigation satellite system as an illuminator of opportunity for the rotor blade feature extraction of a helicopter. Aiming at the strong fixed clutter in the surveillance channel of the PBR, a novel iteration clutter elimination method-based singular-value decomposition approach is proposed. Instead of the range elimination method used in the classic extended cancellation algorithm, the proposed clutter elimination method distinguishes the clutter using the largest singular value and by remove this value. At the same time, the fuselage echo of the hovering helicopter can also be suppressed along with the ground clutter, then the rotor echo of this can be obtained. In the micro-motion feature extraction, the mathematic principle of the flash generation process in the time–frequency distribution (TFD) is derived first. Next, the phase compensation method is applied to achieve the time–frequency flash shift in the TFD. After this, the center frequencies of the standard flashes in the TFD are compared with the standard frequency dictionary. The mean l1 norm is utilized to estimate the feature parameters of the helicopter rotor. In the experiments, the scattering point model and the physical optics facet model demonstrate that the proposed method can obtain more accurate parameter estimation results than some classic algorithms.

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Efficient Estimation of the Helicopter Blade Parameter by Independent Component Analysis

Cited by 3 publications

References 18 publications

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

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

A Comparison of Three Swarm-Based Optimization Algorithms in Wind Turbine Radar Clutter Micro-Motion Parameters Estimation

Clutter Suppression and Rotor Blade Feature Extraction of a Helicopter Based on Time–Frequency Flash Shifts in a Passive Bistatic Radar

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