A Fast SAR Imaging Method for Ground Moving Target Using a Second-Order WVD Transform

Huang, Penghui; Liao, Guisheng; Yang, Zhiwei; Xia, Xiang-Gen; Ma, Ji; Zhang, Xuepan

doi:10.1109/tgrs.2015.2490582

Cited by 93 publications

(52 citation statements)

References 46 publications

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“…It is well known that these methods can be used to estimate the slope of the linear RCM, which is the basis for its compensation. Another approach uses KT-based methods [7][8][9][10], which are readjusted by interpolation to remove the coupling between the range frequency and the slow time to correct the linear RCM. However, these methods suffer from large computational loads and accuracy loss because of the interpolation used and multidimensional search steps required, which is not suitable for real-time implementation.…”

Section: Rcm Correctionmentioning

confidence: 99%

“…After PD implementation, the energy trajectory of the manoeuvring target is transformed into a straight line in the two-dimensional time domain, and the interaction between the slope and linear RCM is illustrated in Figure 2, where b 1 = 4b 2 τ 1 is the linear RCM coefficient in Equation 7, T a is the moving target time of duration, f s is the range sample frequency, and PRF represents the pulse repetition frequency. From Figure 2, the slope of the straight line can be estimated as Another approach uses KT-based methods [7][8][9][10], which are readjusted by interpolation to remove the coupling between the range frequency and the slow time to correct the linear RCM. However, these methods suffer from large computational loads and accuracy loss because of the interpolation used and multidimensional search steps required, which is not suitable for real-time implementation.…”

Section: Rcm Correctionmentioning

confidence: 99%

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An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

Liu

et al. 2020

Remote Sensing

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Refocusing ground manoeuvring targets with complex motions in synthetic aperture radar (SAR) remains a challenging objective because of the large range of cell migration (RCM) and time-varying Doppler frequency modulation (DFM). By exploiting the geometric information of RCM and two-dimensional (2-D) coherently integrated gain, a fast ground manoeuvring target refocusing method using principal component analysis (PCA) and high-order motion parameter estimation is proposed. First, an efficient phase difference (PD) method and PCA are utilized to correct the RCM, and then, the energy of the ground manoeuvring target is concentrated into the same range bin. Second, by utilizing the coherently integrated cubic phase function (CICPF) that was developed in our previous work, the motion parameters are obtained accurately, and the manoeuvring target is thus well refocused into a sharp peak point based on the estimated motion parameters. The proposed method is of low computational complexity because it avoids time-consuming search and interpolation operations and demonstrates an improved anti-noise performance due to fully exploiting the 2-D coherent accumulation characteristics for estimating motion parameters and enhanced refocused imaging results for manoeuvring targets due to adopting the high-order motion model. Finally, experiments are conducted using simulated and real SAR data to show the performance of the proposed method.

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Section: Rcm Correctionmentioning

confidence: 99%

Section: Rcm Correctionmentioning

confidence: 99%

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

Liu

et al. 2020

Remote Sensing

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“…Chirp signals have some important applications in signal processing. In manoeuvring target detection and imaging in the fields of radar, sonar, etc, the velocity and acceleration information of the target can be obtained by modelling the radar echoes as chirp signals [13][14][15], since this information corresponds to the chirpyness of chirp signals. The Newton's ring can also be modelled as chirp and its chirpyness is an important parameter in related optical measurements [16].…”

Section: Chirpyness Detection Principle Based On Grin Lensmentioning

confidence: 99%

Exposing and extending the interior waves field by transformation materials

Shi

Yang

2020

J. Opt.

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Based on transformation optics, a strategy is proposed to expose the inner one-dimensional space of a wave field inside a beam volume to the surface of the propagation medium and extend the space from one-dimensional to two-dimensional, allowing the corresponding field distribution to be detected directly and more subtly, which is important in optical signal processing. The method is applied to the quadratic graded index lens to construct a new graded index lens, and its enhanced chirpyness detection ability is demonstrated by numerical simulation.

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“…It is challenging to distinguish the target using a single measurement in an urban environment (one typical scenario of which is shown in Figure 1 ). In target detection processing, several high time and frequency resolution analysis methods and SNR improvement methods [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ] have been investigated.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have focused on time-frequency (TF) analysis methods [ 4 , 5 , 6 , 7 , 8 ] for the LFM signal, such as the Wigner–Ville distribution (WVD), short-time Fourier transform (STFT), and wavelet transform (WT). The merits of each TF analysis method are well-known.…”

Section: Introductionmentioning

confidence: 99%

Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection

Zhu

Chen

Pan

et al. 2018

Sensors

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In this paper, a self-adaption matched filter (SMF) and bi-directional difference techniques are proposed to detect a small moving target in urban environments. Firstly, the SMF technique is proposed to improve the signal-to-interference-noise ratio (SINR) by using the power factor. The properties of the transmitting signal, the target echoes and the interference and noise are considered during the power factor generation. The amplitude coherent accumulation technique that extracts the coherent amplitude information of echoes after being processed by the SMF, is used to improve the SINR based on multiple measurements. Finally, the bi-directional difference technique is proposed to distinguish the target echoes and the interference/noise. Simulations and experiments are conducted to validate and demonstrate that small moving targets can be detected with high probability using the proposed method in urban environments, even with just one measurement.

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A Fast SAR Imaging Method for Ground Moving Target Using a Second-Order WVD Transform

Cited by 93 publications

References 46 publications

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

Exposing and extending the interior waves field by transformation materials

Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection

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