24 October 2016 Hardware design and implementation of fast DOA estimation method based on multicore DSP
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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.
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Rui Guo, Yingxiao Zhao, Yue Zhang, Qianqiang Lin, Zengping Chen, "Hardware design and implementation of fast DOA estimation method based on multicore DSP", Proc. SPIE 10007, High-Performance Computing in Geoscience and Remote Sensing VI, 100070O (24 October 2016); doi: 10.1117/12.2241232; https://doi.org/10.1117/12.2241232
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