What is it about?
Motivated by the cumulant properties in source localisation, in this paper we develop a novel algorithm for the localisation of mixed NF and FF sources by the use of fourth-order cumulants.
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Why is it important?
The main contribution of this paper is the utilization of a new structural sparse array and derivation of a new special cumulant matrix to increase the resolution ability, DOA and range estimation accuracy and the number of sources to be localised. In fact, using the proposed algorithm, we acquire the largest number of virtual sensors and the largest array aperture for a given number of actual sensors.
Perspectives
Utilizing fourth-order cumulants is a key technique in signal processing methods. In addition to being insensitive to Gaussian noise, cumulants can extend the aperture of a given array, and therefore can increase both the estimation accuracy and the number of sources to be localised.
Ali Akbar Ebrahimi
Yazd University
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This page is a summary of: Localization of Mixed Near-Field and Far-Field Sources Using the Largest Aperture Sparse Linear Array , IET Signal Processing, September 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-spr.2017.0063.
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