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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter.

Yue Yuan¹, Si Chen², Huichang Zhao³

¹School of Electronic & Optical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China. 313104002284@njust.edu.cn.

Sensors (Basel, Switzerland)

|May 24, 2017

Summary

This study introduces a novel asymmetric bistatic synthetic aperture radar (SAR) system and algorithm to enhance forward-looking azimuth resolution. The new method effectively compensates for complex motion, improving SAR imaging accuracy.

Keywords:

2-D frequency spectrum SAR imaging bistatic forward-looking SAR (BFL-SAR)method of series reversion (MSR)

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Area of Science:

Remote Sensing
Signal Processing
Radar Systems

Background:

Monostatic synthetic aperture radar (SAR) has limitations in achieving high azimuth resolution in forward-looking applications.
Traditional SAR imaging algorithms are insufficient for systems with high-velocity and accelerating platforms.

Purpose of the Study:

To propose an asymmetric configuration bistatic SAR system for improved forward-looking azimuth resolution.
To develop a novel imaging algorithm capable of handling complex platform motion.

Main Methods:

An asymmetric bistatic SAR system with a fixed transmitter and a maneuvering receiver on a nonlinear trajectory.
A new imaging algorithm utilizing a precise 2-D frequency spectrum and high-order Taylor series expansion of slant range.
Compensation for high-order range-azimuth coupling terms.

Main Results:

The proposed algorithm effectively compensates for high-order range-azimuth coupling.
Achieved focus accuracy in SAR imaging is guaranteed by the new algorithm.
Simulation results and error analysis confirm the algorithm's effectiveness.

Conclusions:

The asymmetric bistatic SAR system and its associated imaging algorithm significantly improve forward-looking azimuth resolution.
The developed algorithm is robust for maneuvering platforms, overcoming limitations of traditional methods.
The study validates a new approach for advanced SAR imaging applications.