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Azimuth Full-Aperture Processing of Spaceborne Squint SAR Data with Block Varying PRF
Zhuo Zhang1,2, Wei Xu1,2, Pingping Huang1,2
1College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Sensors (Basel, Switzerland)
|December 11, 2022
Summary
A new method processes synthetic aperture radar (SAR) data from block varying pulse repetition frequency (BV-PRF) schemes. This approach effectively handles insufficient sampling and varying PRFs for improved SAR imaging.
Area of Science:
- Remote Sensing
- Signal Processing
- Aerospace Engineering
Background:
- Spaceborne squint sliding-spotlight SAR systems utilize block varying pulse repetition frequency (BV-PRF) schemes.
- BV-PRF schemes help resolve large-range cell migration and reduce azimuth signal non-uniformity.
- However, BV-PRF data suffer from different PRFs per block and insufficient sampling.
Purpose of the Study:
- To propose a novel azimuth full-aperture pre-processing method for SAR raw data generated by the BV-PRF scheme.
- To address the challenges of varying PRFs and insufficient azimuth sampling in BV-PRF data.
- To enable effective processing of BV-PRF SAR data using classical focusing algorithms.
Main Methods:
- The proposed method involves de-skewing, resampling, azimuth continuous combination, and Doppler history recovery.
- Raw data blocks with different PRFs are resampled to a uniform azimuth sampling interval.
- Azimuth time shifts are introduced for continuous splicing of azimuth signals.
Main Results:
- The pre-processing method results in sufficiently and uniformly sampled azimuth data.
- The processed data are compatible with classical SAR focusing algorithms.
- Simulation results on point targets validate the effectiveness of the proposed approach.
Conclusions:
- The novel azimuth pre-processing method effectively handles SAR raw data from BV-PRF schemes.
- The method ensures sufficient and uniform azimuth sampling, improving data processability.
- This approach is more effective than methods processing SAR data with continuous PRF.

