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A Highly Efficient Heterogeneous Processor for SAR Imaging.

Shiyu Wang1, Shengbing Zhang2, Xiaoping Huang3

  • 1School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China. onion0709@mail.nwpu.edu.cn.

Sensors (Basel, Switzerland)
|August 7, 2019
PubMed
Summary

A novel heterogeneous array processor enhances synthetic aperture radar (SAR) imaging by optimizing chirp scaling algorithm (CSA) processing. This design boosts energy efficiency and throughput for real-time SAR applications.

Keywords:
SAR imagingcomputing resource managementdata cross-placementheterogeneous array

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Area of Science:

  • * Electrical Engineering
  • * Computer Architecture
  • * Signal Processing

Background:

  • * Synthetic Aperture Radar (SAR) technology advancements necessitate efficient real-time image processing.
  • * Limited power consumption and high throughput are critical for SAR imaging systems.
  • * Heterogeneous array processors offer a solution for power-constrained, real-time applications.

Purpose of the Study:

  • * To analyze the chirp scaling algorithm (CSA) for SAR imaging.
  • * To propose a heterogeneous array architecture for efficient SAR image processing.
  • * To enhance energy efficiency and processing throughput for SAR systems.

Main Methods:

  • * Analysis of SAR imaging stages and data flow modeling.
  • * Design of a heterogeneous array architecture with fixed-point PE and floating-point FPE units.
  • * Implementation of data cross-placement, simultaneous access, and resource management strategies.

Main Results:

  • * Proposed architecture achieves 50% higher energy efficiency using mixed-precision units.
  • * Intra-block parallel processing yields up to 115.2 GOPS throughput.
  • * Resource management improves PE utilization by 1.82x and energy efficiency by 1.5x.
  • * Achieved 254 GOPS/W energy efficiency in 65-nm technology.

Conclusions:

  • * The developed heterogeneous array processor effectively supports SAR imaging, particularly CSA.
  • * The architecture demonstrates significant improvements in energy efficiency and processing speed.
  • * Verified imaging fidelity and accuracy for real-world SAR applications.