Fast fixed-point simulation technology for SAR real-time imaging system

Bing Yi Li; Yi Zhuang Xie; Qing Du; He Chen; Chen Yang

doi:10.15918/j.tbit1001-0645.2017.01.014

Fast fixed-point simulation technology for SAR real-time imaging system

Bing Yi Li, Yi Zhuang Xie^*, Qing Du, He Chen, Chen Yang

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Fixed-point processing optimization can reduce the storage, improve the computing speed, is an effective way to reduce power consumption and storage, improve the real-time performance of synthetic aperture radar (SAR) real-time imaging system. Taking the well-known chirp scaling (CS) algorithm as example, the count of computations was analyzed in this paper. Radix-2² algorithm of fast Fourier transform (FFT) as the main part of computations was adopted for fixed-point processing optimization, realized through a reasonable scale strategy with SystemC. Thus rapid system-level simulation of CS algorithm was implemented to provide a standard basis for FPGA implementation. Finally, test images from the raw lattice and area target data (16384×16384) were analyzed using fixed-point CS algorithm with 24 bits input word lengths. The simulation results meet the requirements of system indicators.

Original language	English
Pages (from-to)	67-70 and 76
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	37
Issue number	1
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2017.01.014
Publication status	Published - 1 Jan 2017

Keywords

Fixed-point
Real-time imaging
Simulation
Synthetic aperture rador (SAR)
SystemC

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10.15918/j.tbit1001-0645.2017.01.014

Cite this

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title = "Fast fixed-point simulation technology for SAR real-time imaging system",

abstract = "Fixed-point processing optimization can reduce the storage, improve the computing speed, is an effective way to reduce power consumption and storage, improve the real-time performance of synthetic aperture radar (SAR) real-time imaging system. Taking the well-known chirp scaling (CS) algorithm as example, the count of computations was analyzed in this paper. Radix-22 algorithm of fast Fourier transform (FFT) as the main part of computations was adopted for fixed-point processing optimization, realized through a reasonable scale strategy with SystemC. Thus rapid system-level simulation of CS algorithm was implemented to provide a standard basis for FPGA implementation. Finally, test images from the raw lattice and area target data (16384×16384) were analyzed using fixed-point CS algorithm with 24 bits input word lengths. The simulation results meet the requirements of system indicators.",

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AU - Chen, He

AU - Yang, Chen

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Fast fixed-point simulation technology for SAR real-time imaging system

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Keywords

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