Abstract
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.
| Original language | English |
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| Publication status | Published - 2017 |
| Event | 2017 International Conference on Radar Systems, Radar 2017 - Belfast, United Kingdom Duration: 23 Oct 2017 → 26 Oct 2017 |
Conference
| Conference | 2017 International Conference on Radar Systems, Radar 2017 |
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| Country/Territory | United Kingdom |
| City | Belfast |
| Period | 23/10/17 → 26/10/17 |
Keywords
- ARM NEON
- Doppler center frequency parameters estimation (DCFPE)
- Parallel optimization
- SAR imaging