FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3111387907> ?p ?o ?g. }

• W3111387907 endingPage "014304" @default.
• W3111387907 startingPage "014304" @default.
• W3111387907 abstract "Acoustic environment has low signal-to-noise ratio(SNR); hence, array signal processing is always used for reducing noise and enhancing signal. Because the delay-and-sum beam forming method is robust, so it is almost widely used, but the array gain is limited by the array aperture. The actual underwater ambient noise is complex, which includes uncorrelated noise and correlated noise. The noise powers of array elements are unequal to each other. The noise covariance matrix is not a scaled identity matrix. Consequently, the performance of array signal processing method decreases obviously. Aiming at these two problems, a diagonal reducing method of the covariance matrix in the complex noise field is proposed. Firstly, a reducing matrix, which is defined as a diagonal matrix with unequal diagonal elements, is subtracted from the covariance matrix so as to reduce the noise, and a new matrix is obtained. Secondly, the delay-and-sum beamforming is done by using the new matrix to obtain the beaming output. The analytic solution and approximate solution of reducing matrix are obtained under the constraint condition that the output SNR attains its maximum. Thirdly, the estimation of the reducing matrix is determined by minimizing the function that is defined as the error between the covariance matrix and the estimated covariance matrix. This minimization problem is accomplished in an iterative method. Fourthly, if the noise is uniform white noise or the nonuniform white noise, this proposed method performs well. While, under the complex noise field the performance of the proposed method may be deteriorated. So the effects of the correlation of the noise field and the input SNR on the estimated error are analyzed. In fact, the weaker the correlation is, or the larger the input SNR is, the smaller the estimated error is. Lastly, the simulation experiment and the lake trial are implemented. The simulation results show that the diagonal reducing method of the covariance matrix reduces some ambient noises, the noise output power decreases, the output SNR increases, and the proposed method improves the performance of array signal processing. The experimental results show that the output SNR of the target by using the proposed method is increased by about 14 dB. The diagonal reducing method of covariance matrix has definite value for engineering application, and is computationally attractive." @default.
• W3111387907 created "2020-12-21" @default.
• W3111387907 creator A5000615561 @default.
• W3111387907 creator A5042186913 @default.
• W3111387907 creator A5051869851 @default.
• W3111387907 date "2017-01-01" @default.
• W3111387907 modified "2023-09-23" @default.
• W3111387907 title "Principle and application of diagonal reducing method in the complex noise fields" @default.
• W3111387907 cites W2104610749 @default.
• W3111387907 cites W2110924426 @default.
• W3111387907 cites W2114640742 @default.
• W3111387907 cites W2143072267 @default.
• W3111387907 cites W2149283764 @default.
• W3111387907 cites W2152524816 @default.
• W3111387907 cites W2155178324 @default.
• W3111387907 cites W2158499772 @default.
• W3111387907 cites W2168700230 @default.
• W3111387907 cites W3115995014 @default.
• W3111387907 doi "https://doi.org/10.7498/aps.66.014304" @default.
• W3111387907 hasPublicationYear "2017" @default.
• W3111387907 type Work @default.
• W3111387907 sameAs 3111387907 @default.
• W3111387907 citedByCount "1" @default.
• W3111387907 countsByYear W31113879072017 @default.
• W3111387907 crossrefType "journal-article" @default.
• W3111387907 hasAuthorship W3111387907A5000615561 @default.
• W3111387907 hasAuthorship W3111387907A5042186913 @default.
• W3111387907 hasAuthorship W3111387907A5051869851 @default.
• W3111387907 hasBestOaLocation W31113879071 @default.
• W3111387907 hasConcept C104267543 @default.
• W3111387907 hasConcept C106487976 @default.
• W3111387907 hasConcept C113313756 @default.
• W3111387907 hasConcept C11413529 @default.
• W3111387907 hasConcept C115961682 @default.
• W3111387907 hasConcept C130367717 @default.
• W3111387907 hasConcept C154945302 @default.
• W3111387907 hasConcept C159985019 @default.
• W3111387907 hasConcept C185142706 @default.
• W3111387907 hasConcept C192562407 @default.
• W3111387907 hasConcept C2524010 @default.
• W3111387907 hasConcept C2778545087 @default.
• W3111387907 hasConcept C33923547 @default.
• W3111387907 hasConcept C41008148 @default.
• W3111387907 hasConcept C554190296 @default.
• W3111387907 hasConcept C76155785 @default.
• W3111387907 hasConcept C99498987 @default.
• W3111387907 hasConceptScore W3111387907C104267543 @default.
• W3111387907 hasConceptScore W3111387907C106487976 @default.
• W3111387907 hasConceptScore W3111387907C113313756 @default.
• W3111387907 hasConceptScore W3111387907C11413529 @default.
• W3111387907 hasConceptScore W3111387907C115961682 @default.
• W3111387907 hasConceptScore W3111387907C130367717 @default.
• W3111387907 hasConceptScore W3111387907C154945302 @default.
• W3111387907 hasConceptScore W3111387907C159985019 @default.
• W3111387907 hasConceptScore W3111387907C185142706 @default.
• W3111387907 hasConceptScore W3111387907C192562407 @default.
• W3111387907 hasConceptScore W3111387907C2524010 @default.
• W3111387907 hasConceptScore W3111387907C2778545087 @default.
• W3111387907 hasConceptScore W3111387907C33923547 @default.
• W3111387907 hasConceptScore W3111387907C41008148 @default.
• W3111387907 hasConceptScore W3111387907C554190296 @default.
• W3111387907 hasConceptScore W3111387907C76155785 @default.
• W3111387907 hasConceptScore W3111387907C99498987 @default.
• W3111387907 hasIssue "1" @default.
• W3111387907 hasLocation W31113879071 @default.
• W3111387907 hasOpenAccess W3111387907 @default.
• W3111387907 hasPrimaryLocation W31113879071 @default.
• W3111387907 hasRelatedWork W1506860678 @default.
• W3111387907 hasRelatedWork W1515360638 @default.
• W3111387907 hasRelatedWork W185733981 @default.
• W3111387907 hasRelatedWork W1984560925 @default.
• W3111387907 hasRelatedWork W2000794185 @default.
• W3111387907 hasRelatedWork W2001917730 @default.
• W3111387907 hasRelatedWork W2059769631 @default.
• W3111387907 hasRelatedWork W2091474092 @default.
• W3111387907 hasRelatedWork W2279382477 @default.
• W3111387907 hasRelatedWork W2334254954 @default.
• W3111387907 hasVolume "66" @default.
• W3111387907 isParatext "false" @default.
• W3111387907 isRetracted "false" @default.
• W3111387907 magId "3111387907" @default.
• W3111387907 workType "article" @default.