Micromotion Parameter Estimation of Free Rigid Targets Based on Radar Micro-Doppler

Peng, Lei; Sun, Jinping; Wang, Jun; Hong, Wen

doi:10.1109/tgrs.2012.2185244

Cited by 55 publications

(43 citation statements)

References 30 publications

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“…도플러 스펙트로그램은 2D 신호이나 주파수가 다른 여러 개의 정현파가 합성된 결과이며, 형태학적 알고리즘 을 적용함으로써 1D 신호로 변환이 가능하다 [9] . 1D로 변 환한 도플러 신호     는 식 (6)과 같이 간단히 표현 할 수 있다 [9] . [9] .…”

Section: 본 연구에서는 마이크로 모션에 의해 어떠한 마이크로unclassified

“…1D로 변 환한 도플러 신호     는 식 (6)과 같이 간단히 표현 할 수 있다 [9] . [9] . 본 연구에서 는 회전운동의 주파수   가 세차운동의 주파수   보다 크다고 가정한다.…”

Section: 본 연구에서는 마이크로 모션에 의해 어떠한 마이크로unclassified

“…따라서 위의 네 개의 주파수는 모두 양 의 값을 갖는 것을 알 수 있다. 또한, 본 장에서는 여러 개의 서로 다른 주파수를 갖는 신호가 합성된 신호에서 각 주파수 성분들을 추출할 때 상호 상관(cross correlation)에 의한 오차를 완화하기 위해 RELAX 기법을 적용 하여 FFT로 추출한 주파수 추정값보다 정확한 주파수를 계산하도록 하였다 [9] . …”

Section: 본 연구에서는 마이크로 모션에 의해 어떠한 마이크로unclassified

See 2 more Smart Citations

Multi-Target Position Estimation Technique Using Micro Doppler in FMCW Radar System

유경우¹,

전주환²,

류충호³

2016

The Journal of Korean Institute of Electromagnetic Engineering

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Trilateration technique using time of arrival(TOA) is generally used for single target position estimation in radar system. However, trilateration technique has limitation in case of multiple targets, since it is difficult to distinguish the measurements corresponding to the respective targets. In this study, to eliminate ambiguity of relation between measurements and targets, micromotion of each target is measured by micro Doppler which is actively studied in radar industry nowadays and these information are used to distinguish measurements used at trilateration technique. Resultingly, the trilateration technique is applied successfully for each target. The targets are considered as multiple submissiles separated from the missile. Simulation results shows the performance of the proposed algorithm.

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Section: 본 연구에서는 마이크로 모션에 의해 어떠한 마이크로unclassified

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Multi-Target Position Estimation Technique Using Micro Doppler in FMCW Radar System

유경우¹,

전주환²,

류충호³

2016

The Journal of Korean Institute of Electromagnetic Engineering

View full text Add to dashboard Cite

show abstract

“…The high-resolution image even can be utilized for the purposes of feature extraction and target recognition of noncooperative targets [9][10][11]. In order to improve the range resolution and the detection range, large time-bandwidth product waveforms, such as chirp signal, frequency-stepped signal, and frequencystepped chirp signal, are commonly utilized in modern imaging radar systems [9,[12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

High-Resolution ISAR Imaging with Wideband V-FM Waveforms

Feng¹,

Pan²,

Wang³

2017

International Journal of Antennas and Propagation

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V-FM waveforms, composed of two chirp signals with the opposite slopes, can also achieve high range resolution with wide bandwidth via intrapulse frequency modulation. In this paper, a framework for inverse synthetic aperture radar (ISAR) imaging of moving targets with V-FM waveforms is investigated, where the range compression of the received signals is achieved by the dual-channel dechirping and the azimuth compression is done via the traditional Fourier transform (FT). The two corresponding reconstructed temporary high-resolution range profiles (HRRPs) from the double channels are synthesized for the HRRPs of the target, in which one is flipped from left to right and added to the other. Then the final HRRPs are arranged into a two-dimensional (2D) array and the azimuth compression is done via FT to achieve the ISAR imaging after the motion compensation. Simulated trials, adopting the scattering center modeling of the Yak-42 plane, are used to validate the correctness of the analyses and the finally well-focused images greatly support the effectiveness of V-FM waveforms in ISAR imaging.

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“…The m-D effect has attracted great research attention over the past decade. The high-resolution time-frequency transforms are utilized to analyze the m-D signatures in [1,[6][7][8]. The modified Hilbert-Huang transform, empirical-mode decomposition (EMD) and the Hough transform (HT) are developed to estimate the parameters of the rotating parts of target in [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Micromotion Signature Extraction of Rotating Targets in Ofdm-LFM Mimo Radar

Luo¹,

Zhang²,

Qiu³

et al. 2013

PIER

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Abstract-In monostatic radars systems, only the micromotion signatures projected onto the radar line-of-sight (LOS) can be observed from echoes.As a result, the obtained micromotion signatures (e.g., the radius length of rotation) are sensitive to the radar LOS. In this paper, we propose a method for the accurate estimation of three-dimensional (3-D) micromotion signature with the orthogonal frequency division multiplexing -linear frequency modulation (OFDM-LFM) multi-input multi-output (MIMO) radar technique, which makes use of the advantages of the multi-view of MIMO radar systems and the broad bandwidth of the OFDM-LFM signals. In the proposed method, the Hough transform and Orthogonal Matching Pursuit (OMP) algorithm are introduced to extract the m-D curve features from echoes, and then the 3-D micromotion signatures of the rotating targets are obtained by solving nonlinear multivariable equation systems. The extracted 3-D micromotion signatures are no longer sensitive to the radar LOS, and can provide realistic feature information for target recognition. Simulations are given to validate the effectiveness of the proposed method.

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Micromotion Parameter Estimation of Free Rigid Targets Based on Radar Micro-Doppler

Cited by 55 publications

References 30 publications

Multi-Target Position Estimation Technique Using Micro Doppler in FMCW Radar System

Multi-Target Position Estimation Technique Using Micro Doppler in FMCW Radar System

High-Resolution ISAR Imaging with Wideband V-FM Waveforms

Three-Dimensional Micromotion Signature Extraction of Rotating Targets in Ofdm-LFM Mimo Radar

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