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Modified IQML and W...
Modified IQML and Weighted Subspace Fitting without Eigendecomposition
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- Kristensson, Martin (author)
- KTH,Signaler, sensorer och system
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- Jansson, Magnus (author)
- KTH,Signaler, sensorer och system
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- Ottersten, Björn, 1961- (author)
- KTH,Signaler, sensorer och system
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(creator_code:org_t)
- Elsevier North-Holland, Inc. Amsterdam, The Netherlands, 1999
- 1999
- English.
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In: Signal Processing. - : Elsevier North-Holland, Inc. Amsterdam, The Netherlands. - 0165-1684. ; 79:1, s. 29-44
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- This paper deals with direction estimation of signals impinging on a uniform linear sensor array. A well-known algorithm for this problem is IQML. However, estimates computed with IQML are in general biased, especially in noisy scenarios. We propose a modification of IQML (MIQML) that gives consistent estimates at approximately the same computational cost. In addition, an algorithm (WSF-E) with an estimation error covariance which is asymptotically identical to the asymptotic Cramér–Rao lower bound is presented. The WSF-E algorithm resembles weighted subspace fitting (WSF) or MODE, but achieves optimal performance without having to compute an eigendecomposition of the sample covariance matrix.
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
- Direction estimation; Linear array; Maximum likelihood; Subspace methods; Eigendecomposition; Low complexity
Publication and Content Type
- ref (subject category)
- art (subject category)
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