TY - CONF
T1 - SAR doppler center frequency parameters estimation parallel optimization based on multi-core ARM NEON technology
AU - Xing, Shiwen
AU - Xie, Yizhuang
AU - Chen, Liang
AU - Li, Bingyi
N1 - Publisher Copyright:
© 2017 Institution of Engineering and Technology. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Obtaining Doppler center frequency parameters estimation (DCFPE) with low time consumption is a great challenge in synthetic aperture radar (SAR) imaging system. In order to get DCFPE in real time, this paper adopts three parallel acceleration implementation methods-SIMD parallelism, multi-issue parallelism and multi-core parallelism-according to the characteristics of DCFPE algorithm. To verify the efficiency of the proposed methods, the paper builds the ARM embedded Linux system on multi-core ARM Cortex-A9 platform and uses assembly programming language to implement DCFPE algorithm in a 16384*16384 64-bit SAR imaging process. The experiment shows that DCFPE can be accelerated by more than 50% on average with an acceptable accuracy of the result.
AB - Obtaining Doppler center frequency parameters estimation (DCFPE) with low time consumption is a great challenge in synthetic aperture radar (SAR) imaging system. In order to get DCFPE in real time, this paper adopts three parallel acceleration implementation methods-SIMD parallelism, multi-issue parallelism and multi-core parallelism-according to the characteristics of DCFPE algorithm. To verify the efficiency of the proposed methods, the paper builds the ARM embedded Linux system on multi-core ARM Cortex-A9 platform and uses assembly programming language to implement DCFPE algorithm in a 16384*16384 64-bit SAR imaging process. The experiment shows that DCFPE can be accelerated by more than 50% on average with an acceptable accuracy of the result.
KW - ARM NEON
KW - Doppler center frequency parameters estimation (DCFPE)
KW - Parallel optimization
KW - SAR imaging
UR - http://www.scopus.com/inward/record.url?scp=85048668209&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85048668209
T2 - 2017 International Conference on Radar Systems, Radar 2017
Y2 - 23 October 2017 through 26 October 2017
ER -