Matches in SemOpenAlex for { <https://semopenalex.org/work/W1968532017> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W1968532017 endingPage "2268" @default.
- W1968532017 startingPage "2263" @default.
- W1968532017 abstract "This paper presents a new way of accurately determining peaks of the MUSIC (“Multiple emitter location and signal parameter estimation,” R. O. Schmidt, IEEE Trans. Antennas and Propagation, vol. AP-34, no. 3, pp. 276-280, Mar. 1986) spectrum, here considered from the point of view of estimating the directions of arrival (DOAs) of narrowband signals. It can be used, with any smart antenna geometry and for any purpose where MUSIC is applicable. The MUSIC algorithm for DOA estimation evaluates the MUSIC spectrum for various angles and chooses the maxima or peaks as the angles of arrival. The values obtained depend on the interval at which the spectrum is evaluated. The coarser the interval, the less accurate are the results in case of MUSIC. To improve accuracy and not depend on the interval, Root-MUSIC (“Direction finding for diversely polarized signals using polynomial rooting,” A. J. Weiss and B. Friedlander, IEEE Trans. Signal Processing, vol. 41, no. 5, pp. 1893-1905, May 1993), which involves finding the roots of a polynomial, is available. However, Root-MUSIC is applicable, in its original form, only to uniform linear arrays (ULA). The gold-MUSIC algorithm proposed in this paper is a two-stage process. The first stage evaluates the objective function at coarse intervals and determines peaks followed by an iterative approach based on gold-section univariate (GSU) minimization (Algorithms for Minimization Without Derivatives, R. Brent, Englewood Cliffs, NJ, USA: Prentice-Hall, 1983) to find accurate values of the peaks. If the number of peaks found so far is equal to the number of estimated peaks, the algorithm stops with this first stage. The second stage is an iterative step for fine resolution using finer intervals around the peaks found so far for finding peaks that were missing in previous iterations. This paper, also presents a method, based on a partitioning algorithm for estimating the number of emitters. The performance of gold-MUSIC is described, including its advantages and comparison of time complexities for MUSIC, Root-MUSIC and gold-MUSIC. The proposed algorithm gives good results even when the number of snapshots is small. This gives it an additional computational advantage. It does not compromise on the resolving power of MUSIC." @default.
- W1968532017 created "2016-06-24" @default.
- W1968532017 creator A5036633693 @default.
- W1968532017 creator A5080673854 @default.
- W1968532017 date "2013-04-01" @default.
- W1968532017 modified "2023-10-17" @default.
- W1968532017 title "gold-MUSIC: A Variation on MUSIC to Accurately Determine Peaks of the Spectrum" @default.
- W1968532017 cites W2033214353 @default.
- W1968532017 cites W2066218102 @default.
- W1968532017 cites W2113638573 @default.
- W1968532017 cites W2125189840 @default.
- W1968532017 cites W2128131274 @default.
- W1968532017 cites W2136172079 @default.
- W1968532017 cites W2137283820 @default.
- W1968532017 cites W2149755721 @default.
- W1968532017 cites W2149817982 @default.
- W1968532017 cites W2534518344 @default.
- W1968532017 cites W4239527181 @default.
- W1968532017 cites W4249723560 @default.
- W1968532017 doi "https://doi.org/10.1109/tap.2012.2232893" @default.
- W1968532017 hasPublicationYear "2013" @default.
- W1968532017 type Work @default.
- W1968532017 sameAs 1968532017 @default.
- W1968532017 citedByCount "54" @default.
- W1968532017 countsByYear W19685320172015 @default.
- W1968532017 countsByYear W19685320172016 @default.
- W1968532017 countsByYear W19685320172017 @default.
- W1968532017 countsByYear W19685320172018 @default.
- W1968532017 countsByYear W19685320172019 @default.
- W1968532017 countsByYear W19685320172020 @default.
- W1968532017 countsByYear W19685320172021 @default.
- W1968532017 countsByYear W19685320172022 @default.
- W1968532017 countsByYear W19685320172023 @default.
- W1968532017 crossrefType "journal-article" @default.
- W1968532017 hasAuthorship W1968532017A5036633693 @default.
- W1968532017 hasAuthorship W1968532017A5080673854 @default.
- W1968532017 hasConcept C11413529 @default.
- W1968532017 hasConcept C114614502 @default.
- W1968532017 hasConcept C121332964 @default.
- W1968532017 hasConcept C134306372 @default.
- W1968532017 hasConcept C142362112 @default.
- W1968532017 hasConcept C156778621 @default.
- W1968532017 hasConcept C172051844 @default.
- W1968532017 hasConcept C199360897 @default.
- W1968532017 hasConcept C21822782 @default.
- W1968532017 hasConcept C2776096036 @default.
- W1968532017 hasConcept C2778067643 @default.
- W1968532017 hasConcept C2779843651 @default.
- W1968532017 hasConcept C2780382809 @default.
- W1968532017 hasConcept C33923547 @default.
- W1968532017 hasConcept C41008148 @default.
- W1968532017 hasConcept C52119013 @default.
- W1968532017 hasConcept C554144382 @default.
- W1968532017 hasConcept C62520636 @default.
- W1968532017 hasConcept C76155785 @default.
- W1968532017 hasConcept C90119067 @default.
- W1968532017 hasConcept C91528185 @default.
- W1968532017 hasConceptScore W1968532017C11413529 @default.
- W1968532017 hasConceptScore W1968532017C114614502 @default.
- W1968532017 hasConceptScore W1968532017C121332964 @default.
- W1968532017 hasConceptScore W1968532017C134306372 @default.
- W1968532017 hasConceptScore W1968532017C142362112 @default.
- W1968532017 hasConceptScore W1968532017C156778621 @default.
- W1968532017 hasConceptScore W1968532017C172051844 @default.
- W1968532017 hasConceptScore W1968532017C199360897 @default.
- W1968532017 hasConceptScore W1968532017C21822782 @default.
- W1968532017 hasConceptScore W1968532017C2776096036 @default.
- W1968532017 hasConceptScore W1968532017C2778067643 @default.
- W1968532017 hasConceptScore W1968532017C2779843651 @default.
- W1968532017 hasConceptScore W1968532017C2780382809 @default.
- W1968532017 hasConceptScore W1968532017C33923547 @default.
- W1968532017 hasConceptScore W1968532017C41008148 @default.
- W1968532017 hasConceptScore W1968532017C52119013 @default.
- W1968532017 hasConceptScore W1968532017C554144382 @default.
- W1968532017 hasConceptScore W1968532017C62520636 @default.
- W1968532017 hasConceptScore W1968532017C76155785 @default.
- W1968532017 hasConceptScore W1968532017C90119067 @default.
- W1968532017 hasConceptScore W1968532017C91528185 @default.
- W1968532017 hasIssue "4" @default.
- W1968532017 hasLocation W19685320171 @default.
- W1968532017 hasOpenAccess W1968532017 @default.
- W1968532017 hasPrimaryLocation W19685320171 @default.
- W1968532017 hasRelatedWork W1906111642 @default.
- W1968532017 hasRelatedWork W1968532017 @default.
- W1968532017 hasRelatedWork W2024772675 @default.
- W1968532017 hasRelatedWork W2124930868 @default.
- W1968532017 hasRelatedWork W2148770873 @default.
- W1968532017 hasRelatedWork W2155781330 @default.
- W1968532017 hasRelatedWork W2158825255 @default.
- W1968532017 hasRelatedWork W2159964792 @default.
- W1968532017 hasRelatedWork W2166124887 @default.
- W1968532017 hasRelatedWork W2386116359 @default.
- W1968532017 hasVolume "61" @default.
- W1968532017 isParatext "false" @default.
- W1968532017 isRetracted "false" @default.
- W1968532017 magId "1968532017" @default.
- W1968532017 workType "article" @default.