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Monostatic MIMO rad...
Monostatic MIMO radar direction finding in impulse noise
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- Gao, Hongyuan (författare)
- Harbin Engineering University
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- Chen, Menghan (författare)
- Harbin Engineering University
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- Du, Yanan (författare)
- Harbin Engineering University
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- Jakobsson, Andreas (författare)
- 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
- Engelska.
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Ingår i: Digital Signal Processing: A Review Journal. - : Elsevier BV. - 1051-2004. ; 117
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Cramér-Rao bound
- Direction-finding
- Impulse noise
- Maximum likelihood method
- Monostatic MIMO radar
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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