Abstract

With the increasing of application requirements, the high-resolution real-time imaging processing of the spaceborne spotlight synthetic aperture radar (SAR) has been developed. Since the traditional real-time imaging algorithms have the problems that the range model has errors and the two-dimensional (2-D) space-variance of the equivalent velocity caused by the curved orbit cannot be effectively eliminated. Thus, this article proposes a high-resolution real-time imaging algorithm for spaceborne spotlight SAR with curved orbit via subaperture coherent superposition in image domain. In this article, the echo data are first divided into subapertures to avoid the azimuth spectrum aliasing. After that, the 2-D space-variance of the equivalent velocity caused by the curved orbit can be eliminated by the method of azimuth time scale transformation, higher order phase compensation, and introducing phase transition function. Then, the dechirp function is applied for the subaperture signals to obtain the partial-resolution subaperture images. Finally, these partial-resolution subaperture images are coherently superposed in the image domain to obtain the final full-resolution image of the whole echo data. Moreover, the proposed algorithm improves the real-time performance by adopting the idea that the subaperture data recording and subaperture real-time imaging processing are synchronized, which greatly accelerates the acquisition of the final full-resolution imaging result. At the end of this article, the simulations and the real-time performance analysis are performed to validate the proposed algorithm.

Highlights

  • As an active microwave imaging system, spaceborne synthetic aperture radar (SAR) is able to perform the two-dimensional imaging in all-weather and all-day conditions[1,2,3,4,5,6,7]

  • To solve above three main problems, this paper proposes a high-resolution real-time imaging algorithm for spaceborne spotlight SAR with curved orbit via sub-aperture coherent superposition in image domain

  • The echo data are first divided into sub-apertures, and the azimuth spectrum aliasing is avoided because the azimuth signal bandwidth of each sub-aperture data is much smaller than the pulse repeating frequency (PRF)

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Summary

INTRODUCTION

As an active microwave imaging system, spaceborne synthetic aperture radar (SAR) is able to perform the two-. Above imaging algorithms are based on the traditional hyperbolic range model (HRM) without considering the curved orbit, they are not valid in the high-resolution real-time imaging processing for the spaceborne spotlight SAR. To solve above three main problems, this paper proposes a high-resolution real-time imaging algorithm for spaceborne spotlight SAR with curved orbit via sub-aperture coherent superposition in image domain. According to the new sub-aperture range model considering the curved orbit, the azimuth space-variance of the equivalent velocity can be eliminated by the method of azimuth time scale transformation and higher-order phase compensation. The proposed algorithm combines the slant range model of curved orbit with the new method of sub-aperture coherent superposition in image domain that is different with the traditional sub-aperture algorithms, so that the sub-aperture data recording and subaperture real-time imaging processing are performed simultaneously in the high-resolution spaceborne SAR imaging.

SUB-APERTURE SIGNAL MODEL approximate straight orbit tk tsub
HIGH-RESOLUTION REAL-TIME IMAGING PROCESSING
Residual phase compensation
Higher-order Phase Compensation
Range Processing and Sub-Aperture Focusing Processing
Sub-Aperture Coherent Superposition in Image Domain
EXPERIMENT RESULTS
Surface Targets Simulation
Real-time Performance Analysis
CONCLUSION
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