The distributed SAR reconstruction method for line target

Yu, Fan; Chen, Xinliang; Wei, Yangkai; Wen, Yuhan; Zeng, Tao; Ding, Zegang

doi:10.1109/icsidp47821.2019.9173317

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…On the other hand, in the open-loop methods, such as the synchronization methods in [12]- [15], the nodes coordinate with each other to synchronize their transceivers without using any feedback from the destination. As such, the open-loop methods are also suitable for the remote sensing [16], [17] and radar applications [18].…”

Section: Introductionmentioning

confidence: 99%

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Rashid¹,

Nanzer²

2022

Preprint

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A decentralized approach for joint frequency and phase synchronization in distributed antenna arrays is presented. The nodes in the array locally broadcast signals to share their frequencies and phases with their neighboring nodes, and use consensus averaging to align these parameters across the array. The architecture is fully distributed, requiring no centralization. Each node has a local oscillator and we consider a signal model where intrinsic frequency and phase errors of the local oscillators on each node caused by the frequency drift and phase jitter as well as the frequency and phase estimation errors at the nodes are included and modeled using practical statistics. A decentralized frequency and phase consensus (DFPC) algorithm is proposed which uses an average consensus method in which each node in the array iteratively updates its frequency and phase by computing an average of the frequencies and phases of their neighboring nodes. Simulation results show that upon convergence the DFPC algorithm can align the frequencies and phases of all the nodes up to a residual phase error that is governed by the oscillators and the estimation errors. To reduce this residual phase error and thus improve the synchronization between the nodes, a Kalman filter based decentralized frequency and phase consensus (KF-DFPC) algorithm is presented. The total residual phase error at the convergence of the KF-DFPC and DFPC algorithms is derived theoretically. The synchronization performances of these algorithms are compared to each other in light of this theoretical residual phase error by varying the duration of the signals, connectivity of the nodes, the number of nodes in the array, and signal to noise ratio of the transmitted signals. Simulation results demonstrate that the proposed KF-DFPC algorithm Manuscript received 2022.

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Section: Introductionmentioning

confidence: 99%

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Rashid¹,

Nanzer²

2022

Preprint

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“…Theoretically, when multi-view SAR is used for target location, the greater the difference between multiple viewing angles, the higher the target location accuracy [6]. However, under the differences at large viewing angles, the radar cross section (RCS) of the target fluctuates greatly with the changes in viewing angles, which leads to the obvious differences in the shape, appearance and gray value of the same target in the SAR images with different viewing angles [7]. This is difficult to be processed by traditional SAR imagematching algorithms.…”

Section: Introductionmentioning

confidence: 99%

A Fast Matching Method for the SAR Images with Large Viewing Angles Based on Inertial Navigation Information and Neighborhood Structure Consensus

Yan,

Zhao,

et al. 2023

Remote Sensing

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In the field of multi-view SAR target location, the greater the difference in viewing angles, the higher the target location accuracy. However, this makes it difficult to match the same target between the SAR images with different viewing angles. The performance of traditional SAR image-matching algorithms will deteriorate or even fail to match the images correctly when the viewing angle is gradually increased. To solve this problem, a fast SAR matching method for the SAR images with large viewing angles based on inertial navigation information and neighborhood structure consensus (ININSC) is proposed in this paper. In this algorithm, the key targets are detected in the SAR images by using the maximum connected domain algorithm and the K-means clustering algorithm, and the connected domain centroid of the target is taken as a feature point. The approximate position of the key targets after the viewing angle change is found through inertial navigation information, and then accurate and fast matching is achieved by using the consensus of the neighborhood topological structure of the key targets. The measured data sets demonstrate that compared with traditional SAR image-matching algorithms, the proposed ININSC algorithm solves such a problem that SAR images cannot be accurately matched under the differences at large viewing angles and has better robustness and timeliness.

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Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Rashid

Nanzer

2023

IEEE Trans. Wireless Commun.

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The distributed SAR reconstruction method for line target

Cited by 3 publications

References 7 publications

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

A Fast Matching Method for the SAR Images with Large Viewing Angles Based on Inertial Navigation Information and Neighborhood Structure Consensus

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

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