Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis

Stanković, Ljubiša; Popovic-Bugarin, Vesna; Radenović, Filip

doi:10.1016/j.sigpro.2013.01.005

Cited by 21 publications

(16 citation statements)

References 20 publications

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“…The signal in the range cell of the HRRP-JEM image is modelled on the basis of point scatterers [17,[21][22][23] and the problem geometry with related parameters is shown in Fig. 1.…”

Section: Simple Parametric Model Of Radar Cell Datamentioning

confidence: 99%

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Park¹,

Yang²,

Bae³

et al. 2013

PIER

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Abstract-In this paper, high resolution range profile-jet engine modulation (HRRP-JEM) analysis is extended by including quantitative estimation of the jet engine location and extraction of the JEM microDoppler component. Based on a parametric model of the range cell data, signal eccentricity was introduced for the purpose of determining the jet engine location. Then, complex empirical mode decomposition (CEMD) was employed to extract the embedded JEM component. The signal eccentricity also served as an auxiliary means of CEMD-based micro-Doppler extraction. Application to the simulated HRRP-JEM data demonstrated that the analysis results described in this paper could be useful for advanced radar target recognition with HRRP-JEM.

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“…The signal in the range cell of the HRRP-JEM image is modelled on the basis of point scatterers [17,[21][22][23] and the problem geometry with related parameters is shown in Fig. 1.…”

Section: Simple Parametric Model Of Radar Cell Datamentioning

confidence: 99%

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Park¹,

Yang²,

Bae³

et al. 2013

PIER

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“…However, during the procedure of m-D removal, this method suffers from a problem that some STFT samples of rigid bodies are also removed, which can introduce side lobes close to rigid bodies. Therefore, a method based on the genetic algorithm (GA) was proposed to recover missing data of rigid bodies in [19], owing to its wide application as stochastic optimization methods [20 -22]. Unfortunately, the GA always requires lots of parameter settings in the procedures of encoding, crossover, mutation and decoding, which increases the complexity of the method.…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation for rigid body after micro-Doppler removal based on L-statistics in the radar analysis

Wang

Kang

2015

J. of Syst. Eng. Electron.

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In traditional inverse synthetic aperture radar (ISAR) imaging of moving targets with rotational parts, the micro-Doppler (m-D) effects caused by the rotational parts influence the quality of the radar images. Recently, L. Stankovic proposed an m-D removal method based on L-statistics, which has been proved effective and simple. The algorithm can extract the m-D effects according to different behaviors of signals induced by rotational parts and rigid bodies in time-frequency (T-F) domain. However, by removing m-D effects, some useful short time Fourier transform (STFT) samples of rigid bodies are also extracted, which induces the side lobe problem of rigid bodies. A parameter estimation method for rigid bodies after m-D removal is proposed, which can accurately recover rigid bodies and avoid the side lobe problem by only using m-D removal. Simulations are given to validate the effectiveness of the proposed method.

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“…2005년에 P. Tait는 이러한 ISAR 영상의 단점을 극복 하고자 HRRP-JEM(High Resolution Range Profile-Jet Engine Modulation)이라는 새로운 레이더 영상의 개 념을 제시하였다 [1], [2] . HRRP-JEM 영상은 높은 거리 해상도(high range resolution)와 높은 주파수 해상도 (high frequency resolution)를 갖는 레이더 파형을 사 용하여, 그림 1과 같이 제트 엔진 변조 효과(JEM) [3], [4] 스펙트럼을 통해 장착된 엔진의 특성을 제공하 는 한편, HRRP를 [8], [9] . 그림 2와 같이 중 심이 O이고, 회전 속도 ω Q 및 시변 회전각  를 갖는 표적 상에 위치한 산란점을 Q라 할 때, Q로부 터 수신된 레이더 신호는 다음과 같다.…”

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“…일반적으로 HRRP-JEM 영상을 구성하는 수 신 신호는 회전하는 제트 엔진뿐만 아니라, 항공기 구조로부터의 산란 신호를 포함하므로 다음과 같이 식 (1)과 식 (2)의 합의 형태 [9] 로 간단히 표현된다.…”

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Localization of Jet Engine Position from HRRP-JEM Images of Aircraft Targets Using Eccentricity of Complex-Valued Signals

Park¹,

Yang²,

Bae³

et al. 2013

The Journal of Korean Institute of Electromagnetic Engineering

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It can effectively evaluate the contribution of the JEM component to the radar received signal in a range bin of the HRRP-JEM image. Therefore, the localization is expected to be performed more quantitatively and reliably by pinpointing the range bin corresponding to the jet engine position where the JEM contribution is maximized. The simulation results of realistic aircraft models validated the effectiveness of the proposed concept.

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Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis

Cited by 21 publications

References 20 publications

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Parameter estimation for rigid body after micro-Doppler removal based on L-statistics in the radar analysis

Localization of Jet Engine Position from HRRP-JEM Images of Aircraft Targets Using Eccentricity of Complex-Valued Signals

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