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Proceedings Paper

Hardware design and implementation of fast DOA estimation method based on multicore DSP
Author(s): Rui Guo; Yingxiao Zhao; Yue Zhang; Qianqiang Lin; Zengping Chen
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Paper Abstract

In this paper, we present a high-speed real-time signal processing hardware platform based on multicore digital signal processor (DSP). The real-time signal processing platform shows several excellent characteristics including high performance computing, low power consumption, large-capacity data storage and high speed data transmission, which make it able to meet the constraint of real-time direction of arrival (DOA) estimation. To reduce the high computational complexity of DOA estimation algorithm, a novel real-valued MUSIC estimator is used. The algorithm is decomposed into several independent steps and the time consumption of each step is counted. Based on the statistics of the time consumption, we present a new parallel processing strategy to distribute the task of DOA estimation to different cores of the real-time signal processing hardware platform. Experimental results demonstrate that the high processing capability of the signal processing platform meets the constraint of real-time direction of arrival (DOA) estimation.

Paper Details

Date Published: 24 October 2016
PDF: 6 pages
Proc. SPIE 10007, High-Performance Computing in Geoscience and Remote Sensing VI, 100070O (24 October 2016); doi: 10.1117/12.2241232
Show Author Affiliations
Rui Guo, National Univ. of Defense Technology (China)
Yingxiao Zhao, National Univ. of Defense Technology (China)
Yue Zhang, National Univ. of Defense Technology (China)
Qianqiang Lin, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10007:
High-Performance Computing in Geoscience and Remote Sensing VI
Bormin Huang; Sebastián López; Zhensen Wu; Jose M. Nascimento; Jun Li; Valeriy V. Strotov, Editor(s)

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