基于并行计算架构的内存高效频谱估计

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI:10.1109/DSP-SPE.2015.7369576

M. Barjenbruch, Franz Gritschneder, K. Dietmayer, J. Klappstein, J. Dickmann

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引用次数: 1

摘要

提出了一种光谱估计方法。它基于RELAX算法的多维扩展。快速傅里叶变换被多个Chirp-Z变换所取代。每个变换的长度都比原算法中的变换短得多。这大大降低了内存需求。同时保持了高度的并行性。对计算要求进行了详细的分析。最后，将该方法应用于汽车雷达测量。结果表明，多维光谱估计可以解决扩展目标上的多个散射中心。

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Memory efficient spectral estimation on parallel computing architectures

A method for spectral estimation is proposed. It is based on the multidimensional extensions of the RELAX algorithm. The fast Fourier transform is replaced by multiple Chirp-Z transforms. Each transform has a much shorter length than the transform in the original algorithm. This reduces the memory requirements significantly. At the same time a high degree of parallelism is preserved. A detailed analysis of the computational requirements is given. Finally, the proposed method is applied to automotive radar measurements. It is shown, that the multidimensional spectral estimation resolves multiple scattering centers on an extended object.

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2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)

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