Micro-Doppler Removal in the Radar Imaging Analysis

Stanković, Ljubiša; Thayaparan, T.; Daković, Miloš; Popovic-Bugarin, Vesna

doi:10.1109/taes.2013.6494410

Cited by 82 publications

(77 citation statements)

References 21 publications

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“…Also, the method can be used as an additional method along with other methods to gain higher resolution and reduce calculation time with the same setups. One well-cited assertion in the literature is the effect of moving target on imaging and abolishing image blurring due to target maneuvering by time-frequency analysis [6][7][8][9][10][11]. However, little attention has been paid to the advantages of using moving radars and micro-Doppler for the imaging or location of static objects.…”

Section: Introductionmentioning

confidence: 99%

A Novel Non-Coherent Micro-Doppler Imaging Method Using Hybrid Optimization

Safari¹,

Abdolali²

2017

PIER M

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Abstract-Conventional radar imaging methods use coherent analysis which highlights the necessity of signal phase measurement setups and complex inverse algorithms. To mitigate these drawbacks, this paper proposes a novel phase-less imaging algorithm. A nonlinear over-determined system of equations based on signal Doppler shift is developed, and a new error function originated from least square method is introduced. To obtain the exact position of targets, hybrid optimization is applied to the achieved error function. Simulation results demonstrate that the proposed method is well capable of detecting the targets containing strong point scatterers, even with the distance of 1 cm. Also, the resolution of imaging algorithm for point scatterer circumstances is obtained in the order of millimeter. Concurrent with the priory imaging algorithms with the same imaging setups using proposed method reduces complexity and increases imaging swiftness.

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Section: Introductionmentioning

confidence: 99%

A Novel Non-Coherent Micro-Doppler Imaging Method Using Hybrid Optimization

Safari¹,

Abdolali²

2017

PIER M

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“…In Synthetic Aperture Radar (SAR)/Inverse Synthetic Aperture Radar (ISAR) imagery, micro-Doppler effect will introduce nonstationary phase modulation into returned signals, which will significantly decrease the readability of images [5,8,9]. In [8], an estimation method based on the discrete fractional Fourier transform is proposed to estimate the instantaneous vibration accelerations and frequencies.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], an estimation method based on the discrete fractional Fourier transform is proposed to estimate the instantaneous vibration accelerations and frequencies. To separate the rigid body and the micro-Doppler parts, an Lstatistics-based method for micro-Doppler effects removal is proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

Zhuang

Deng

et al. 2015

Journal of Electrical and Computer Engineering

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When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem. In this paper, we propose a novel method based on compressed sensing (CS) to solve micro-Doppler ambiguity. According to the RIP requirement, a sparse probing pulse train with its transmitting time random is designed. After matched filtering, the slow-time echo signals of the micromotion target can be viewed as randomly sparse sampling of Doppler spectrum. Select several successive pulses to form a short-time window and the CS sensing matrix can be built according to the time stamps of these pulses. Then performing Orthogonal Matching Pursuit (OMP), the unambiguous micro-Doppler spectrum can be obtained. The proposed algorithm is verified using the echo signals generated according to the theoretical model and the signals with micro-Doppler signature produced using the commercial electromagnetic simulation software FEKO.

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“…Other approach is based on the L-statistics and time-frequency analysis to extract non-stationary features from the time-frequency representation of a composite signal. This method just separate stationary and non-stationary parts, but it does not separate non-stationary components within the signal [3], [4]. Here we will present a method for analysis of sinusoidally modulated components based on the inverse Radon transform of signal's time-frequency representation.…”

Section: Introductionmentioning

confidence: 99%

Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform

Daković

Stanković

2013

2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)

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A method for accurate and efficient parameters estimation and decomposition of sinusoidally modulated signals is presented. This kind of signals is of special interest in radars and communications. The proposed method is based on the inverse Radon transform property to transform a twodimensional sinusoidal pattern into a single point in a twodimensional plane. Theory is illustrated on signals with one and more components, including noise and disturbances, as well as time-frequency patterns that deviate from sinusoidal form, including the cases when some samples are not available.

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Micro-Doppler Removal in the Radar Imaging Analysis

Cited by 82 publications

References 21 publications

A Novel Non-Coherent Micro-Doppler Imaging Method Using Hybrid Optimization

A Novel Non-Coherent Micro-Doppler Imaging Method Using Hybrid Optimization

Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform

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