A new Doppler centroid estimation method for high-squint curved-trajectory airborne synthetic aperture radar

Zhou, Zhichao; Ding, Zegang; Wang, Yan; Li, Linghao; Zhu, Kaiwen; Zeng, Tao

doi:10.1080/01431161.2019.1624868

Cited by 4 publications

(5 citation statements)

References 26 publications

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“…The flowchart of the proposed method is shown in Figure 1 and the main steps are as follows: Step 1 (Data preparation): The echo data is processed with range compression. Step 2 (Δ F d obtainment): The Doppler frequency of echo is estimated via the ACCC method in [7], and the data set of F d can be obtained via (). Step 3 (EM algorithm): Firstly, the E‐step is implemented to estimate the hidden variance via (). Then, the M‐step is performed to update the parameters of ( μ , σ , w ) via ()–().…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Step 2 ( F d obtainment): The Doppler frequency of echo is estimated via the ACCC method in [7], and the data set of F d can be obtained via (1).…”

Section: Principle Of Optimal Time Selectionmentioning

confidence: 99%

“…The Doppler frequency of echo can be estimated via the average cross-correlation coefficient (ACCC) method in [7], which is denoted as f dl . Here, l = 1, 2, …, L and L is the number of estimated values.…”

Section: Principle Of Optimal Time Selectionmentioning

confidence: 99%

“…Step 3 (EM algorithm): Firstly, the E-step is implemented to estimate the hidden variance via (7). Then, the M-step is performed to update the parameters of (μ, σ, w) via ( 9)-(11).…”

Section: Fig 3 Distribution Of Doppler Frequencies Estimated Via Em A...mentioning

confidence: 99%

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Novel optimal time selection method for synthetic aperture radar data processing via expectation‐maximization algorithm

Cao

Wang

2022

Electronics Letters

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A novel optimal time selection method for synthetic aperture radar (SAR) data processing via the expectation‐maximization (EM) algorithm is proposed, which can reduce the computational complexity and improve the image quality simultaneously. First, the Doppler frequency feature after the SAR processing is analyzed from the point of probability. Then, the Doppler frequency is modelled as the Gaussian mixture model (GMM), and the issue of optimal time selection can be implemented by the parameter estimation of GMM. The results of simulated and real measured data are given to demonstrate the effectiveness of the proposed method.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

“…Step 2 ( F d obtainment): The Doppler frequency of echo is estimated via the ACCC method in [7], and the data set of F d can be obtained via (1).…”

Section: Principle Of Optimal Time Selectionmentioning

confidence: 99%

Section: Principle Of Optimal Time Selectionmentioning

confidence: 99%

“…Step 3 (EM algorithm): Firstly, the E-step is implemented to estimate the hidden variance via (7). Then, the M-step is performed to update the parameters of (μ, σ, w) via ( 9)-(11).…”

Section: Fig 3 Distribution Of Doppler Frequencies Estimated Via Em A...mentioning

confidence: 99%

See 2 more Smart Citations

Novel optimal time selection method for synthetic aperture radar data processing via expectation‐maximization algorithm

Cao

Wang

2022

Electronics Letters

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“…Under the high sea condition, the sea clutter may exist and the SNR will be decreased. Then, the sea clutter suppression techniques in [35] and [36] can be applied, , and the more precious Doppler centroid estimation method in [37] can be utilized consequently.…”

Section: Remarkmentioning

confidence: 99%

An Efficient Preprocessing Approach for Airborne Hybrid SAR and ISAR Imaging of Ship Target Based on Kernel Distribution

Cao

Wang

Lin

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The airborne hybrid synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) imaging for the ship target is very important in the field of ocean surveillance, but it suffers from the problem of high computational complexity. In this paper, an efficient preprocessing approach for the airborne hybrid SAR and ISAR imaging based on the kernel distribution is proposed, which can reduce the computational complexity and preserve the image quality simultaneously. Firstly, the residual Doppler frequency is estimated. Then, a novel measurement method with good robustness is proposed for evaluating the stationarity of Doppler frequency from the aspect of statistics, which adopts the kernel distribution to estimate the probability distribution function (PDF) curve for the Doppler frequency. Afterwards, an effective preprocessing approach is addressed consequently to eliminate the incomplete illumination time and select the time interval with steady target motion. Results of simulated and actual SAR data verify the effectiveness of the novel algorithm proposed in this paper.

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Early Warning Potential of Cucumber Spoilage Based on Hyperspectral Information During Its Storage

Yuan

Zhang

Huang³

et al. 2022

Food Anal. Methods

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A new Doppler centroid estimation method for high-squint curved-trajectory airborne synthetic aperture radar

Cited by 4 publications

References 26 publications

Novel optimal time selection method for synthetic aperture radar data processing via expectation‐maximization algorithm

Novel optimal time selection method for synthetic aperture radar data processing via expectation‐maximization algorithm

An Efficient Preprocessing Approach for Airborne Hybrid SAR and ISAR Imaging of Ship Target Based on Kernel Distribution

Early Warning Potential of Cucumber Spoilage Based on Hyperspectral Information During Its Storage

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