Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR

Barbarossa, Sergio; Lorenzo, Paolo Di; Vecchiarelli, P.; Silvi, A.; Bruner, Angela P.

doi:10.1109/icassp.2013.6638522

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…We propose to use a multicomponent polynomial phase signal analysis technique to analyze the interference field [10]. For simplicity of analysis, the amplitudes of the signal components are considered to be constants.…”

Section: Theorymentioning

confidence: 99%

Three-dimensional displacement measurement from phase signals embedded in a frame in digital holographic interferometry

Kulkarni

Rastogi

2015

Appl. Opt.

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A novel technique is proposed for the simultaneous measurement of all three components of displacement from a single recording of the interference field in digital holographic interferometry. The interference field is divided into a number of rectangular segments, and in each of these segments, the interference field is represented as a multicomponent low-order two-dimensional (2D) polynomial phase signal. 2D-product high-order ambiguity function based analysis is applied to obtain an accurate estimation of the 2D polynomial coefficients. These coefficients are further used to compute the interference phases. The simulation and experimental results show the robustness of the proposed method to noise and its effectiveness in multiple phase estimation.

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Section: Theorymentioning

confidence: 99%

Three-dimensional displacement measurement from phase signals embedded in a frame in digital holographic interferometry

Kulkarni

Rastogi

2015

Appl. Opt.

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“…In the PFA, (13) in polar format (k, tn) is required to be resampled into rectangle format (kr, kx) by using the two sequential interpolators kr=kR0/ R 2 0 + u 2 n and kx=−krun/R0. Then, we obtain S(kr, kx) ≈ exp[−j(krr + kxx + kxvxtn…”

Section: Range Decoupling By Pfamentioning

confidence: 99%

“…Due to residual azimuth phase modulation (APM), further azimuth refocusing is required. In this paper, we realize the azimuth refocusing under time-frequency representation (TFR) [11][12][13][14][15], and the novel Lv's distribution (LVD) is employed [11]. We will demonstrate the APM in TF related correlation function is a coupling between Doppler frequency and azimuth slow-time.…”

Section: Introductionmentioning

confidence: 99%

Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation

Yang

Zhao

Wang

et al. 2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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This paper presents a new SAR ground moving target imaging (GM-TIm) algorithm based on an unified framework of Keystone transformation (KT). To combat the inherent range-azimuth coupling, an tandem two-step strategy is designed, where the range decoupling is implemented by polar format algorithm (PFA) and the azimuth decoupling is finished by an novel time-frequency representation method that is Lv's distribution (LVD). We show, mathematically, that the azimuth resampling of PFA has inherently the same mechanism as the KT, and also, the LVD achieves the optimal performance when it is performed in accordance with the KT principle. Therefore, multiple moving targets can be imaged simultaneously. Focused targets' responses can be obtained in both range and azimuth dimensions. Isotropic point target simulation is designed, and experiments are carried out to validate our proposed SAR-GMTIm algorithm.

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Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets

Barbarossa

Lorenzo

Vecchiarelli

2014

IEEE Trans. Signal Process.

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Polynomial-phase signals (PPS) appear in a variety of applications and several algorithms are available to estimate their parameters in the presence of noise. Among the available tools, the product high order ambiguity function (PHAF) has the merit of performing well in the presence of a superposition of PPS's. In this work, we generalize the PHAF to handle two-dimensional PPS's. Then we show an example of application motivating such an extension: the high resolution imaging of moving targets from synthetic aperture radars (SAR). Using the 2D-PHAF, we will propose an algorithm that compensates jointly for the range cell migration and the phase modulation induced by the relative radar-target motion in order to produce a focused image of the moving target. Numerical results illustrate the advantages of the proposed method when compared to existing auto-focusing algorithm

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Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR

Cited by 4 publications

References 8 publications

Three-dimensional displacement measurement from phase signals embedded in a frame in digital holographic interferometry

Three-dimensional displacement measurement from phase signals embedded in a frame in digital holographic interferometry

Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation

Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets

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