Focusing Spotlight-Mode Bistatic GEO SAR With a Stationary Receiver Using Time-Doppler Resampling

Guo, Yukun; Yu, Ze; Li, Jingwen; Li, Chunsheng

doi:10.1109/jsen.2020.2994752

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Assuming that the number of samples in the azimuth and the range direction are equal, that is, N r N a , then the computational complexity of the proposed algorithm is O N 2 log 2 (N ) . Consider the BP algorithm with the same number of samples in the range and azimuth, and its computational complexity is [44].…”

Section: Computation Costmentioning

confidence: 99%

Focusing High Maneuvering Bistatic Forward-Looking SAR With Stationary Transmitter Using Extended Keystone Transform and Modified Frequency Nonlinear Chirp Scaling

Ding

et al. 2022

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

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Section: Computation Costmentioning

confidence: 99%

Focusing High Maneuvering Bistatic Forward-Looking SAR With Stationary Transmitter Using Extended Keystone Transform and Modified Frequency Nonlinear Chirp Scaling

Ding

et al. 2022

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

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“…Furthermore, the airborne multichannel receiver can achieve different bistatic configurations for various applications without the constraints of a fixed orbit [6]. Most studies on GEO SA-BSAR are focused on the imaging of a stationary scene, including bistatic configuration design [7], resolution analysis [8][9][10], and imaging algorithms [11][12][13][14][15]. Various imaging modes, such as side-looking, squint-looking, and forwards-looking, were proved to be promising in recent research [8].…”

Section: Introductionmentioning

confidence: 99%

A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR

et al. 2022

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A geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO SA-BSAR) system is an important technique to achieve long-time moving target monitoring over a wide area. However, due to special bistatic configuration of GEO SA-BSAR, two major challenges, i.e., severe range migration and space-variant Doppler parameters for moving targets, hinder the moving target indication (MTI) processing. Traditional SAR MTI methods, which do not take the challenges into consideration, will defocus the moving targets, leading to a loss of the signal-to-noise ratio (SNR). To focus moving targets and estimate motion parameters accurately, long-time coherent integration space-time adaptive processing (LTCI-STAP) is proposed for GEO SA-BSAR MTI in this paper. First, a modified adaptive spatial filtering based on the bistatic signal model is performed to suppress the clutter. Then, an LTCI filter bank is constructed to achieve range migration correction and moving target focusing, which yields the optimal output signal and filtering parameters. Finally, constant false alarm rate (CFAR) detection is carried out to determine the targets, and the space-variant Doppler parameters, solved from the filtering parameters, are used for estimating moving target positions and velocities. Simulations verify the effectiveness of our method.

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Height Estimation of Strong Scatterers for Bistatic GEO SAR with a Stationary Receiver

Guo

et al. 2022

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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Focusing Spotlight-Mode Bistatic GEO SAR With a Stationary Receiver Using Time-Doppler Resampling

Cited by 6 publications

References 19 publications

Focusing High Maneuvering Bistatic Forward-Looking SAR With Stationary Transmitter Using Extended Keystone Transform and Modified Frequency Nonlinear Chirp Scaling

Focusing High Maneuvering Bistatic Forward-Looking SAR With Stationary Transmitter Using Extended Keystone Transform and Modified Frequency Nonlinear Chirp Scaling

A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR

Height Estimation of Strong Scatterers for Bistatic GEO SAR with a Stationary Receiver

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