Experimental Demonstration of Passive BSAR Imaging Using Navigation Satellites and a Fixed Receiver

Antoniou, Michail; Zeng, Zhangfan; Liu, Feifeng; Cherniakov, M.

doi:10.1109/lgrs.2011.2172571

Cited by 86 publications

(62 citation statements)

References 8 publications

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“…Current studies on multistatic SAR mainly focus on imaging algorithm [1][2][3][4], synchronization [5], experiments [6] and target detection [7,8]. Target localization is of significant importance for both monostatic and multistatic SAR applications.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

Zhong

et al. 2017

Remote Sensing

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Abstract:In traditional localization methods for synthetic aperture radar (SAR), the range sum estimation and Doppler centroid estimation (DCE) are required. The DCE error can influence the localization accuracy greatly. In addition, the target height information cannot be obtained by these methods. In this paper, a three-dimensional localization method for multistatic SAR based on the numerical range-Doppler (RD) algorithm and entropy minimization principle is proposed. In this method, the raw data from each transmitter and receiver (T/R) pair are focused by the numerical RD algorithm with the initial location value of the reference target. Then, Newton iteration is used to solve the target location value with the information of the bistatic range sum (BRS) in different SAR images with respect to different T/R pairs. Generally, the initial location value of the reference target is not accurate, and it can influence the imaging quality and accuracy of other target locations. We use entropy to measure image quality and iterate imaging with the new location value of the reference target, until the entropy gets the minimum value. Therefore, we can get the optimal location value of the reference target, which can make image entropy reach the minimum. Finally, all targets can be located by the Newton iteration method with their BRS in each T/R pair that are obtained from the images with minimum entropy. Compared with traditional localization methods for monostatic SAR, the proposed method not only effectively eliminates the influences of DCE errors, but also can get the target height information. Therefore, it improves the localization accuracy and can achieve three-dimensional localization. The effectiveness of the localization approach is validated by a numerical simulation experiment.

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Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

Zhong

et al. 2017

Remote Sensing

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“…Many experiments using synchronization strategies based on the direct signal, including some polarimetric and interferometric applications, have been successfully performed [12,[25][26][27][28][29][30][31][32][33][34][35]. Since 2013, our team has successfully conducted several hybrid spaceborne-stationary BiSAR experiments, i.e., TerraSAR-X/stationary, in which the transmitter follows a rectilinear or curve trajectory while the receiver is fixed in one position, like at the top of a high tower or mountain, looking downwards to the illuminated scene [36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Integrated Time and Phase Synchronization Strategy for a Multichannel Spaceborne-Stationary Bistatic SAR System

et al. 2016

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Abstract:The spatial separation of the transmitter and receiver in Bistatic Synthetic Aperture Radar (BiSAR) makes it a promising and useful supplement to a classical Monostatic SAR system (MonoSAR). This paper proposes a novel integrated time and phase synchronization strategy for a multichannel spaceborne-stationary BiSAR system. Firstly, the time synchronization strategy is proposed, which includes Pulse Repetition Frequency (PRF) generation under noisy conditions, multichannel calibration and the alignment of the recorded data with the orbital data. Furthermore, the phase synchronization strategy, which fully considers the deteriorative factors in the BiSAR configuration, is well studied. The contribution of the phase synchronization strategy includes two aspects: it not only compensates the phase error, but also improves the Signal to Noise Ratio (SNR) of the obtained signals. Specifically, all direct signals on different PRF time can be reconstructed with the shift and phase compensation operation using a reference signal. Besides, since the parameters of the reference signal can be estimated only once using the selected practical direct signal and a priori information, the processing complexity is well reduced. Final imaging results with and without compensation for real data are presented to validate the proposed synchronization strategy.

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“…Our research focuses on SS-BSAR using global navigation satellite systems (GNSS) as transmitters of opportunity [9][10][11][12][13]. There are a number of reasons for this choice.…”

Section: Introductionmentioning

confidence: 99%

GNSS-based bistatic SAR: a signal processing view

Antoniou

Cherniakov

2013

EURASIP J. Adv. Signal Process.

121

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This article presents signal processing algorithms used as a new remote sensing tool, that is passive bistatic SAR with navigation satellites (e.g. GPS, GLONASS or Galileo) as transmitters of opportunity. Signal synchronisation and image formation algorithms are described for two system variants: one where the receiver is moving and one where it is fixed on the ground. The applicability and functionality of the algorithms described is demonstrated through experimental imagery that ultimately confirms the feasibility of the overall technology.

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Experimental Demonstration of Passive BSAR Imaging Using Navigation Satellites and a Fixed Receiver

Cited by 86 publications

References 8 publications

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

Integrated Time and Phase Synchronization Strategy for a Multichannel Spaceborne-Stationary Bistatic SAR System

GNSS-based bistatic SAR: a signal processing view

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