Fast Factorized Backprojection Algorithm for One-Stationary Bistatic Spotlight Circular SAR Image Formation

Xie, Hongtu; Shi, Shuaiyi; An, Daoxiang; Wang, Guangxue; Wang, Guoqian; Xiao, Hui; Huang, Xiaotao; Zhang, Zhimin; Xie, Chao; Wang, Feng; Fang, Qunle

doi:10.1109/jstars.2016.2639580

Cited by 59 publications

(29 citation statements)

References 55 publications

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“…It is difficult for circular SAR to maintain ideal uniform circular motion in the actual motion process, which results in low-resolution of the image. What's worse, it may make the echo data unable to focus imaging [14]. Therefore, it is necessary to analyze the impact of nonuniform circular motion on imaging.…”

Section: Fmcw Csar Echo Model With Motion Error Based On Parametric Smentioning

confidence: 99%

“…[13] describes a method of motion compensation based on calibrator, which can correct motion errors better, but has to place calibrator in the detection area ahead of time, and its application in military reconnaissance is limited. Time-domain imaging algorithm is mainly BP (back project) algorithm [14], which has high accuracy but large amount of computation and poor real-time performance. In [15], a self-focusing BP algorithm based on minimum entropy is proposed to correct the phase errors caused by motion errors to realize motion compensation.…”

Section: Introductionmentioning

confidence: 99%

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Motion Compensation Algorithm for Single Track FMCW Csar by Parametric Sparse Representation

Song¹,

Li²,

Qu³

et al. 2019

PIER C

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In recent years, FMCW CSAR (frequency modulation continue wave circular synthetic aperture radar) is more and more widely used in military reconnaissance and sea surface target recognition. However, due to the influence of external factors, it cannot move in an ideal uniform circular trajectory, resulting in low imaging resolution. In this paper, the problem of motion errors caused by nonuniform circular motion is analyzed, and the phenomenon of range unit broadening and sidelobe increase caused by nonuniform circular motion errors is simulated. The echo model is characterized by error parameters. Based on the compressed sensing imaging algorithm, motion error parameters are estimated by parametric sparse representation. The least squares method and gradient descent method are applied to estimate motion error parameters. Simulations are conducted to show that both of the methods can reach the goal that the motion compensation is realized. The result of simulations and measurement data demonstrate that the algorithm can correct nonuniform circular motion errors better and further improve the imaging resolution.

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Section: Fmcw Csar Echo Model With Motion Error Based On Parametric Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motion Compensation Algorithm for Single Track FMCW Csar by Parametric Sparse Representation

Song¹,

Li²,

Qu³

et al. 2019

PIER C

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“…In engineering applications, calculation of the radar's detection probability is usually calculated using the look-up table method, which is very inconvenient. In this paper, the radar detection model is established based on the Albersheim experience, and then the relationship between the detection probability, false alarm probability and signal-to-noise ratio is given by (4) S/N is the signal-to-noise ratio for pulse accumulation, and (5) (6) Where, Pfa is the false alarm probability and Pd is the detection probability. When Pfa is in the range [10 -7 , 10 -3 ] and Pd is in the range [0.1, 0.9], the precision of the Eq.…”

Section: Detection Modelmentioning

confidence: 99%

“…Currently, a number of the geosciences and remote sensing applications are developed on the radar system [1]- [4]. In recent years, many early warning radar systems were built by several countries in both military and civilian fields, and then some excellent experiment results were obtained [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Detection Effectiveness of Airborne Early Warning Radar

Xie¹,

Shi²,

Li³

et al. 2017

Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 20

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Abstract. Early warning radar is able to effectively detect the target utilizing Doppler Effects between the target and radar. The detection effectiveness of the airborne early warning radar is affected by its detection range as well as its detection probability. In this paper, a method for simulating the detection effectiveness of the airborne early warning radar is proposed. First, the detection model of the airborne early warning radar is designed. And then, based on the motion parameters of the airplane and target as well as the radar system parameter, the detection effectiveness of the early warning radar is simulated and displayed dynamically. Finally, the detection effectiveness of the early warning radar is validated. Simulation results show that the proposed method can effectively simulate the detection effectiveness of the airborne early warning radar, and has the friendly man-machine conversation.

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“…Therefore, high resolution, high-speed and wide view angle data acquisition is realized. Since the transmitter is mounted on a stationary platform or a low-speed platform in the AA-BiSAR system, a moving passive receiver platform is the only factor to be considered when solving problems for instance motion compensation and parameter estimation [29][30][31][32][33]. Furthermore, as the variation of the transmitting slant range does not or hardly impacts on the azimuth resolution, AA-BiSAR can be used in the fields of emergency landing, self-landing, air-drop supplies, terminal guidance, moving target indication etc.…”

Section: Introductionmentioning

confidence: 99%

Focusing Arc-Array Bistatic Synthetic Aperture Radar Data Based on Keystone Transform

Huang

et al. 2019

Electronics

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Arc-array synthetic aperture radar (AA-SAR) has become a novel imaging scheme for full azimuth observation. However, the exiting arc-array monostatic SAR system is placed on a single platform and is easy to detect. Arc-array bistatic SAR (AA-BiSAR) with a stationary transmitter is proposed in this paper, which can obtain high data acquisition efficiency and reduce vulnerability of arc-array monostatic SAR. Furthermore, since the azimuth resolution with full azimuth observation is not related to the location of the stationary transmitter, the transmitter can be placed far away from the receiver. Compared with imaging algorithms for other modes, the key points of AA-BiSAR imaging algorithms are a square root in the bistatic slant range equation and an arc synthetic array in azimuth. According to the imaging geometry of AA-BiSAR, a novel imaging approach for AA-BiSAR based on keystone transform (KT) is proposed, and the KT implements range-cell migration correction (RCMC) in conditions of trigonometric function under square root in the range history and arc synthetic array in azimuth via reformatting the AA-BiSAR raw data. Besides presenting the proposed imaging approach, a complete resolution analysis of AA-BiSAR is given. Results of numerical simulation experiments on point targets validate the proposed imaging approach.

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Fast Factorized Backprojection Algorithm for One-Stationary Bistatic Spotlight Circular SAR Image Formation

Cited by 59 publications

References 55 publications

Motion Compensation Algorithm for Single Track FMCW Csar by Parametric Sparse Representation

Motion Compensation Algorithm for Single Track FMCW Csar by Parametric Sparse Representation

Simulation of Detection Effectiveness of Airborne Early Warning Radar

Focusing Arc-Array Bistatic Synthetic Aperture Radar Data Based on Keystone Transform

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