On Finite Word Length Computing Error of Fixed-Point SAR Imaging Processing

XIE Yizhuang; ZHU Bocheng; YANWen; ZHANG Weijie

Article Contents

Article Navigation > Chinese Journal of Electronics > 2014 > 23(3): 645-648

XIE Yizhuang, ZHU Bocheng, YANWen, et al., “On Finite Word Length Computing Error of Fixed-Point SAR Imaging Processing,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 645-648, 2014,

Citation:

XIE Yizhuang, ZHU Bocheng, YANWen, et al., “On Finite Word Length Computing Error of Fixed-Point SAR Imaging Processing,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 645-648, 2014,

XIE Yizhuang, ZHU Bocheng, YANWen, et al., “On Finite Word Length Computing Error of Fixed-Point SAR Imaging Processing,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 645-648, 2014,

Citation:

XIE Yizhuang, ZHU Bocheng, YANWen, et al., “On Finite Word Length Computing Error of Fixed-Point SAR Imaging Processing,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 645-648, 2014,

PDF( 261 KB)

On Finite Word Length Computing Error of Fixed-Point SAR Imaging Processing

1.
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
2.
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China;
3.
Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, China

Received Date: 2011-08-01
Rev Recd Date: 2012-04-01
Publish Date: 2014-07-05

Abstract

Abstract

Synthetic aperture radar (SAR) imaging system is generally realized by fixed-point with the purpose of reducing system implementation scale and enhancing real-time performance. Finite word length computing error of fixed-point SAR imaging system is studied. The characteristic of computing error in SAR imaging system is analyzed. A finite word length computing error model of SAR imaging system is built, by means of which the empirical formula of system's output noise-to-signal ratio is derived. Based on the empirical formula, SAR imaging system processing word length is presented according to different processing granularities. The validity of this proposed finite word length computing error model of SAR imaging system is verified by system level fixed-point simulation.
- Synthetic aperture radar (SAR) imaging,
- Finite word length,
- Analysis of computing error

FullText(HTML)

References(8)

References

Alan V. Oppenheim, Ronald W. Schafer, John R. Buck, Discrete-Time Signal Processing, Pearson Prentice Hall, pp.415-421, pp.754-763, 2011.

Sang Yoon Park, Ya Jun Yu, "Fixed-point analysis and parameter selections of MSR-CORDIC with applications to FFT designs", IEEE Transactions on Signal Processing, Vol.60, No.12, pp.6245-6256, 2012.

Seogoo Lee, Andreas Gerstlauer, "Fine grain word length optimization for dynamic precision scaling in DSP systems", Proceedings of 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, pp.266-271, 2013.

Wang Shiyi, Digital Signal Processing, Beijing Institute of Technology Press, Beijing, pp.365-430, 2002. (in Chinese)

Alan V. Oppenheim, Clifford J. Weinstein, "Effects of finite register length in digital filtering and the fast fourier transform", Proceedings of the IEEE, Vol.60, No.8, pp.957-976, 1972.

Zhu Hua, Huang Huining,Li Yongqing, Mei Wenbo, Stochastic Signal Analysis, Beijing Institute of Technology Press, Beijing, pp.230-282, 1995. (in Chinese)

Bao Zheng, Xing Meng-dao, Wang Tong, Radar Imaging Technology, Publishing House of Electronics Industry, Beijing, pp.105-112, 2006. (in Chinese)

SUN Jinping, WANG Jun, HONG Wen and MAO Shiyi, "design and implementation of real-time high squint spotlight SAR imaging processor", Chinese Journal of Electronics, Vol.19, No.3, pp.563-568, 2010.

Relative Articles

Supplements(0)

Cited By

Proportional views