Extension of D‐TomoSAR for multi‐dimensional reconstruction based on polynomial phase signal

Liu, Mei; Wang, Zhigui; Wang, Pengfei

doi:10.1049/iet-rsn.2017.0450

Cited by 2 publications

(2 citation statements)

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“…Considering the above-mentioned, the 2-D product high-order ambiguity function (2-D PHAF) with the RELAX algorithm were proposed to achieve the estimations of the components in the 2-D PPS under the nonuniform and sparse sampled conditions [23]. In this section, the 2-D PHAF with the RELAX algorithm is firstly used to acquire the estimation of the coefficients in (10).…”

Section: -D Deformation Retrieval For the Improved D-tomosarmentioning

confidence: 99%

“…However, the operation of (15) requires the uniform sampling of the signals with a sampling rate that satisfies the Nyquist theorem, thus, the original 2-D PHAF algorithm is unable to be applied to the D-TomoSAR model directly. In this context, the RELAX algorithm [23] is preferred to solve the above problem, and it is able to achieve the peak's location of 2-D PHAF in low signal noise ratio (SNR).…”

Section: Review Of the 2-d Phaf With Relax Algorithmmentioning

confidence: 99%

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Retrieval of Three-Dimensional Surface Deformation Using an Improved Differential SAR Tomography System

Wang

Liu

2019

Electronics

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Conventional differential synthetic aperture radar tomography (D-TomoSAR) can only capture the scatterers’ one-dimensional (1-D) deformation information along the line of sight (LOS) of the synthetic aperture radar (SAR), which means that it cannot retrieve the three-dimensional (3-D) movements of the ground surface. To retrieve the 3-D deformation displacements, several methods have been proposed; the performance is limited due to the insufficient sensitivity for retrieving the North-South motion component. In this paper, an improved D-TomoSAR model is established by introducing the scatterers’ 3-D deformation parameters in slant range, azimuth, and elevation directions into the traditional D-TomoSAR model. The improved D-TomoSAR can be regarded as a multi-component two-dimensional (2-D) polynomial phase signal (PPS). Then, an effective algorithm is proposed to retrieve the 3-D deformation parameters of the ground surface by the 2-D product high-order ambiguity function (PHAF) with the relax (RELAX) algorithm. The estimation performance is investigated and compared with the traditional algorithm. Simulations and experimental results with semi-real data verify the effectiveness of the proposed signal model and algorithm.

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Section: -D Deformation Retrieval For the Improved D-tomosarmentioning

confidence: 99%

Section: Review Of the 2-d Phaf With Relax Algorithmmentioning

confidence: 99%