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Memory efficient spectral estimation on parallel computing architectures | IEEE Conference Publication | IEEE Xplore

Memory efficient spectral estimation on parallel computing architectures


Abstract:

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 Ch...Show More

Abstract:

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.
Date of Conference: 09-12 August 2015
Date Added to IEEE Xplore: 04 January 2016
ISBN Information:
Conference Location: Salt Lake City, UT, USA

References

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