Efficient Time Domain Echo Simulation of Bistatic SAR Considering Topography Variation

Chen, Tianfu; Zhang, Jiyu; Li, Wenchao; Wu, Junjie; Li, Zhongyu; Huang, Yulin; Yang, Jianyu

doi:10.1109/igarss39084.2020.9323328

Cited by 1 publication

(2 citation statements)

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“…The latter is related to the range model and determines the accuracy of range positioning and azimuth coherent accumulation. The range is the sum of transmission range and reception range, which are different in the "nonstop-and-go" configuration, similar to the range in the bistatic SAR [15].…”

Section: Sar Echo Signal Modelmentioning

confidence: 99%

“…In contrast, frequency-domain methods can be categorized into three groups, namely, one-dimensional frequency-domain methods, two-dimensional frequency-domain methods, and inverse imaging processing methods. The one-dimensional frequency-domain method [14,15] implements the convolution of the original azimuth signal and the transmitting signal in the range frequency domain, and the echoes of the scatter points are coherently stacked in the frequency domain. It improves the simulation efficiency compared to time-domain methods and generates raw data by coherently stacking the echoes of each pulse from the radar.…”

Section: Introductionmentioning

confidence: 99%

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Raw Data Simulation of Spaceborne Synthetic Aperture Radar with Accurate Range Model

Jiang

et al. 2023

Remote Sensing

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Simulated raw data have become an essential tool for testing and assessing system parameters and imaging performance due to the high cost and limited availability of real raw data from spaceborne synthetic aperture radar (SAR). However, with increasing resolution and higher orbit altitudes, existing simulation methods fail to generate SAR simulated raw data that closely resemble real raw data. This is due to approximations such as curved orbits, “stop-and-go” assumption, and Earth’s rotation, among other factors. To overcome these challenges, this paper presents an accurate range model with a “nonstop-and-go” configuration for raw data simulation based on existing time-domain simulation methods. We model the SAR echo signal and establish a precise space geometry for spaceborne SAR. Additionally, we precisely identify the target illumination area based on elliptical beams through space coordinate transformation. Finally, the SAR raw data were accurately simulated using high-precision time-domain simulation methods. The accuracy of the proposed model was validated by comparing it with the traditional hyperbolic model and the curved orbit model with “stop-and-go” assumption through image processing of the generated raw data. Through the analysis of point target quality parameters, the errors of various parameters in our distance model compared with the other two models are within 1%. Furthermore, this simulation method can be adapted to simulate raw data of other modes and satellite orbits by adjusting beam control and satellite orbit parameters, respectively. The proposed simulation method demonstrated high accuracy and versatility, thereby providing a valuable contribution to the development of remote sensing technology.

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Section: Sar Echo Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%