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DSP Based Implementation of Direction of Arrival for Wideband Sources

机译:基于DSP的宽带信号源到达方向的实现

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There is a need for the computation of Direction of Arrival (DOA) for wideband sources for number of applications. There are number of algorithms available in the literature for wideband case however we focus on Coherent Signal Subspace method proposed by Wang and Kaveh. Most algorithms available in the literature follow some variation of CSS algorithm thereby increasing computational complexity in an effort to get more accurate, statistically stable and unbiased DOA. We are interested in computing DOA for wideband sources in real time. We chose CSS algorithm and investigated possibility of implementing it using commercially available Digital Signal Processor (DSP) in an effort to achieve real time capability. DSPs offer flexibility, ease of development of embedded system, reduces design cost and offers use of high-level programming language such as C. In this work, we propose a DSP based architecture for detecting and estimating the DOA of wideband sources. It is known that DOA algorithms require computation of eigenvalues and eigenvectors. It would be best to find computational friendly algorithm for the computation of eigenvalues and eigenvectors. In this work eigenvalues and eigenvectors are computed using well known Householder and QR algorithms. CSS algorithm is then implemented in C and executed on DIOPSIS 740 by Atmel. DIOPSIS 740 (D740) is a high performance dual-core processing platform for real time applications. The CSS algorithm was then parallelized and a parallel architecture was then developed. This paper presents parallel architecture using DIOPSIS 740 (D740) and computes performance parameters.
机译:对于许多应用,需要为宽带源计算到达方向(DOA)。对于宽带情况,文献中有许多可用的算法,但是我们主要关注Wang和Kaveh提出的相干信号子空间方法。文献中可用的大多数算法都遵循CSS算法的某些变体,从而增加了计算复杂度,从而努力获得更准确,统计上稳定且无偏的DOA。我们对实时计算宽带源的DOA感兴趣。我们选择了CSS算法,并研究了使用商用数字信号处理器(DSP)实施CSS算法的可能性,以实现实时功能。 DSP提供了灵活性,易于嵌入式系统开发,降低了设计成本,并使用了诸如C的高级编程语言。在这项工作中,我们提出了一种基于DSP的体系结构,用于检测和估计宽带信号源的DOA。众所周知,DOA算法需要计算特征值和特征向量。最好找到一种计算友好的算法来计算特征值和特征向量。在这项工作中,特征值和特征向量是使用众所周知的Householder和QR算法来计算的。然后,CSS算法以C语言实现,并由Atmel在DIOPSIS 740上执行。 DIOPSIS 740(D740)是用于实时应用的高性能双核处理平台。然后将CSS算法并行化,然后开发并行体系结构。本文介绍了使用DIOPSIS 740(D740)的并行体系结构,并计算了性能参数。

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