Abstract

In this work, the staggered SAR technique is employed for high-speed platform highly-squint SAR by varying the pulse repetition interval (PRI) as a linear function of range-walk. To focus the staggered SAR data more efficiently, a low-complexity modified Omega-k algorithm is proposed based on a novel method for optimal azimuth non-uniform interpolation, avoiding zero padding in range direction for recovering range cell migration (RCM) and saving in both data storage and computational load. An approximate model on continuous PRI variation with respect to sliding receive-window is employed in the proposed algorithm, leaving a residual phase error only due to the effect of a time-varying Doppler phase caused by staggered SAR. Then, azimuth non-uniform interpolation (ANI) at baseband is carried out to compensate the azimuth non-uniform sampling (ANS) effect resulting from continuous PRI variation, which is further followed by the modified Omega-k algorithm. The proposed algorithm has a significantly lower computational complexity, but with an equally effective imaging performance, as shown in our simulation results.

Highlights

  • Synthetic Aperture Radar (SAR) has become an indispensable part of current Earth observation systems [1,2,3]

  • We focus on the high-speed platform highly-squint staggered SAR and vary the pulse repetition interval (PRI) as a function of range-walk to effectively receive the radar echo signals

  • An approximate model on continuous PRI variation with respect to sliding receive-window is employed in the proposed algorithm, leaving a residual phase error only due to the effect of a time-varying Doppler phase caused by staggered SAR

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Summary

Introduction

Synthetic Aperture Radar (SAR) has become an indispensable part of current Earth observation systems [1,2,3]. To mitigate the RCM problem, we can have a large pulse repetition interval (PRI) and change the opening time of the receive-window to remove the range-walk term in RCM [12,13] This is not applicable to high-speed platform highly-squint SAR due to the lower PRI caused by the larger. We focus on the high-speed platform highly-squint staggered SAR and vary the PRI as a function of range-walk to effectively receive the radar echo signals. This results to two problems: azimuth non-uniform sampling (ANS) and Doppler phase history changing (DPHC).

High-Speed Platform Highly-Squint Staggered SAR
Processing Algorithm for High-Speed Platform Highly-Squint Staggered SAR
Traditional Algorithm for High-Speed Platform Highly-Squint Staggered SAR
A Modified Omega-k Algorithm Based on ANI
Performance Evaluation
Computational Complexity Analysis
N a N r log 2 N r
Simulation Results
Conclusions

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