Search: onr:"swepub:oai:research.chalmers.se:1720d90c-3e3f-465b-8a74-d002c52c0468" >
Statistical Analysi...
Statistical Analysis of the MUSIC Algorithm in the Presence of Modeling Errors, Taking Into Account the Resolution Probability
-
- Ferreol, A. (author)
- Laboratoire des Systemes et Applications des Technologies de l'Information et de l'Energie,Thales Group
-
- Larzabal, P. (author)
- Laboratoire des Systemes et Applications des Technologies de l'Information et de l'Energie
-
- Viberg, Mats, 1961 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
(creator_code:org_t)
- 2010
- 2010
- English.
-
In: IEEE Transactions on Signal Processing. - 1941-0476 .- 1053-587X. ; 58:8, s. 4156-4166
- Related links:
-
https://doi.org/10.1...
-
show more...
-
https://research.cha...
-
show less...
Abstract
Subject headings
Close
- This paper considers the statistical performance of the MUSIC method under the condition that two closely spaced sources impinging on an array of sensors are effectively resolved, i.e., the spectrum exhibits two peaks in the neighborhood of the true directions-of-arrival (DOA). The MUSIC algorithm is known to have an infinite resolution power in theory. However, in the presence of modeling errors, sources can not be resolved with certainty, even if the array correlation matrix is perfectly known. The focus of this paper is to predict the bias and variance of the DOA estimates taking into account the possible resolution failure of MUSIC. This performance prediction, based on our recent mathematical investigation, is new to the best of our knowledge. A general mathematical framework to derive closed form expressions of the bias and variance versus the model mismatch, conditioned on a general statistical resolution test is proposed. In order to illustrate our mathematical approach, statistical tests with one and two conditions, respectively, are investigated. The accuracy of the performance prediction is illustrated in a simulation study. It is found that the proposed approach outperforms the "classical" technique, which ignores the possible resolution failure of the MUSIC algorithm. Therefore, our results provide better tools for determining the necessary antenna calibration accuracy to achieve some targeted specifications on the estimator performance.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- sensitivity analysis
- threshold
- direction-finding algorithm
- MUSIC resolution
- performance
- modeling errors
- DOA estimation
- performances
- analysis
Publication and Content Type
- art (subject category)
- ref (subject category)
Find in a library
To the university's database