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Monostatic MIMO radar direction finding in impulse noise

Gao, Hongyuan (author)
Harbin Engineering University
Chen, Menghan (author)
Harbin Engineering University
Du, Yanan (author)
Harbin Engineering University
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Jakobsson, Andreas (author)
Lund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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 (creator_code:org_t)
Elsevier BV, 2021
2021
English.
In: Digital Signal Processing: A Review Journal. - : Elsevier BV. - 1051-2004. ; 117
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This work considers direction-finding using a monostatic multiple-input multiple-output (MIMO) radar in the presence of impulsive noise. Employing a novel low-order covariance-based exponential kernel function, the proposed maximum likelihood (ML) formulation exploits an introduced quantum whale optimization algorithm (QWOA) to form the direction estimates. The resulting estimates are shown to be robust to the presence of impulsive noise, offering preferable performance as compared to recent related approaches, even in cases when the number of available snapshots is small.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

Cramér-Rao bound
Direction-finding
Impulse noise
Maximum likelihood method
Monostatic MIMO radar

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Chen, Menghan
Du, Yanan
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