Abstract

Real-time spaceborne bistatic SAR imaging could significantly reduce the whole processing time and can enhance the spaceborne SAR mission availability. Onboard real-time SAR imaging relies on the Doppler parameters estimated from the real-time onboard orbit determination system (OODS) measurement, whose accuracy level is not comparable to the orbit ephemeris data in ground-based SAR processing. The investigation of the impact of error in real-time OODS measurements on bistatic SAR image quality is necessary, and it can help to clarify the key parameter limits of the real-time OODS. The monostatic analytical approximation model (MonoAAM) for spaceborne SAR reduces simulation complexity and processing time compared to the widely used numerical simulation method. However, due to the different configurations between spaceborne bistatic and monostatic SAR, simply applying the MonoAAM on spaceborne bistatic SAR cannot guarantee the desired result. A bistatic analytical approximation model (BiAAM) for Doppler rate estimation error from real-time OODS measurement in real-time spaceborne bistatic SAR imaging is proposed for characterizing the estimation error. Selecting quadratic phase error (QPE) as an evaluation variable, the proposed BiAAM model can provide QPE estimation results for each position of the satellite in its orbit and the maximum QPE estimation for the whole orbit, while revealing the different process of OODS measurement error transferring to QPE in spaceborne bistatic SAR. The correctness and reliability of BiAAM are evaluated by comparing the result with a Monte Carlo numerical simulation method. With the supporting result from BiAAM, the concept and early-stage development of a real-time onboard bistatic SAR imaging mission could be possibly benefited.

Highlights

  • Spaceborne bistatic synthetic aperture radar (SAR) has always been a research focus and bistatic SAR imaging provides different observation geometry compared to the spaceborne monostatic SAR [1,2,3,4,5]

  • A bistatic analytical approximation model (BiAAM) for Doppler rate estimation error from real-time onboard orbit determination system (OODS) measurement in real-time spaceborne bistatic SAR imaging is proposed for characterizing the estimation error

  • The real-time onboard orbit determination system (OODS) based on GNSS receivers and appropriate algorithms [27,28] is equipped on the satellite platform to provide the measurement of the state vectors, which is necessary for Doppler parameter

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Summary

Introduction

Spaceborne bistatic synthetic aperture radar (SAR) has always been a research focus and bistatic SAR imaging provides different observation geometry compared to the spaceborne monostatic SAR [1,2,3,4,5]. The real-time onboard orbit determination system (OODS) based on GNSS receivers and appropriate algorithms [27,28] is equipped on the satellite platform to provide the measurement of the state vectors, which is necessary for Doppler parameter. The extreme value method, the Monte Carlo numerical simulation, method and estimation based on the monostatic analytical approximation model (MonoAAM) are often applied to QPE evaluation. A bistatic analytical approximation model (BiAAM) for Doppler rate estimation error from real-time OODS data in real-time spaceborne bistatic SAR imaging is proposed. An a priori probability of the error in the real-time OODS is mandatory for BiAAM, together with SAR satellite orbit elements for both the transmitter and receiver satellites in the spaceborne bistatic SAR formation and the parameters of the observing geometry of the spaceborne SAR payload as the remaining input parameters. The limitations of applying the MonoAAM in spaceborne bistatic SAR are described

Coordinate Systems
Orbital Plane Coordinate System
Celestial Reference System
Limitations of the MonoAAM in Spaceborne Bistatic SAR
The BiAAM
The Term A-DR
The Term DA-R
The QPE in the BiAAM
Evaluation Model
Comparison of the MonoAAM and BiAAM
QPE Approximation of BiAAM
Discussion
Conclusions
Full Text
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