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Fifth ASSP Workshop on Spectrum Estimation and Modeling最新文献

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Adaptive algorithms for the frequency-domain identification of a second-order Volterra system with random input 随机输入二阶Volterra系统频域辨识的自适应算法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205539
E. Powers, S. Nam, S.B. Kim
{"title":"Adaptive algorithms for the frequency-domain identification of a second-order Volterra system with random input","authors":"E. Powers, S. Nam, S.B. Kim","doi":"10.1109/SPECT.1990.205539","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205539","url":null,"abstract":"The authors describe two practical digital procedures (i.e. complex RLS and LMS adaptive algorithms) for the identification of a second-order Volterra system subject to stationary (more precisely, stationary to order four) random input through the higher-order spectral analysis of the measured I/O data. Also, the validity of the nonlinear transfer function approach is demonstrated by analyzing experimental data of the surge response of a tension leg platform (TLP) to irregular sea waves.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128732701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Path-following algorithm for passive localization of near-field sources 近场源被动定位的路径跟踪算法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205600
D. Starer, A. Nehorai
{"title":"Path-following algorithm for passive localization of near-field sources","authors":"D. Starer, A. Nehorai","doi":"10.1109/SPECT.1990.205600","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205600","url":null,"abstract":"Presents a new algorithm for passive localization of multiple narrow-band near-field sources using a uniform linear array. The algorithm is computationally efficient and has global convergence. It minimizes the MUSIC cost function with respect to the source ranges and bearings, subject to geometrical constraints imposed by the curvature of the received wavefronts. It is shown that, when the cost function is expanded in a two-dimensional power series in the Fresnel region, the estimation problem reduces to one of solving a set of two coupled two-dimensional polynomial equations. The proposed algorithm solves this nonlinear problem using a modification of the path-following (or homotopy) method.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131042814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
A Bayesian approach to 2D non minimum phase AR identification 二维非最小相位AR识别的贝叶斯方法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205550
G. Jacovitti, A. Neri
{"title":"A Bayesian approach to 2D non minimum phase AR identification","authors":"G. Jacovitti, A. Neri","doi":"10.1109/SPECT.1990.205550","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205550","url":null,"abstract":"The authors deal with estimation of autoregressive (AR) noncausal models of bidimensional signals. The problem of factorizing an image into an excitation with a given marginal p.d.f. and a IIR filter is formulated in a Bayesian conceptual framework. The proposed solution is an iterative procedure for the minimization of the a posteriori risk associated to a given cost function. The procedure implies the inversion of a Toeplitz-block-Toeplitz covariance matrix and the iterated solution of a set of normal equations associated with a nonlinear estimation stage.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121519208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Application of structured method to broadband beamforming in the presence of correlated arrivals 结构化方法在相关到达条件下宽带波束形成中的应用
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205558
L. Godara
{"title":"Application of structured method to broadband beamforming in the presence of correlated arrivals","authors":"L. Godara","doi":"10.1109/SPECT.1990.205558","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205558","url":null,"abstract":"The correlation between the desired signal and unwanted interferences exists in situations of multipath and deliberate jamming, and it can degrade the performance of an antenna array significantly. The most of the previous work to decorrelate the correlated arrivals has been for the narrowband case. The paper proposes and analyses a method to decorrelate the correlated broadband directional sources. The method exploits the structure of the array correlation matrix to achieve the performance improvement.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121626524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection and tracking of superimposed non-stationary harmonics 叠加非平稳谐波的检测与跟踪
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205569
K. Arun, M. Aung
{"title":"Detection and tracking of superimposed non-stationary harmonics","authors":"K. Arun, M. Aung","doi":"10.1109/SPECT.1990.205569","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205569","url":null,"abstract":"Detection and estimation of multiple narrowband components in a time-series is a difficult signal processing problem that shows up in many applications. The authors propose a parametric approach to the problem and examine an algorithm based on singular value decomposition to estimate and track the parameters. The model suggested for each narrowband component is a sinusoid with slowly varying amplitude and frequency. The algorithm proposed provides the noise reduction associated with very long averaging intervals, and yet tolerates significant drift of parameters (instantaneous amplitudes and frequencies) over the averaging interval.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114824926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Robust algorithms for direction-finding in the presence of model errors 存在模型误差的鲁棒测向算法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205608
A. Swindlehurst
{"title":"Robust algorithms for direction-finding in the presence of model errors","authors":"A. Swindlehurst","doi":"10.1109/SPECT.1990.205608","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205608","url":null,"abstract":"The application of high-resolution, subspace-based methods to narrowband direction-of-arrival (DOA) estimation relies on several critical assumptions. Two of these are that the response of the antenna array is known in all directions of interest, and that the spatial covariance of the background noise is known. Neither of these assumptions is satisfied in practice, often resulting in a serious degradation of algorithm performance. A model error sensitivity analysis is carried out for some popular high-resolution subspace-based algorithms. Theoretical expressions for the covariance of the DOA estimation error are developed and compared with that obtained by simulation. The analysis is also used to develop optimally weighted versions of the algorithms that are robust to the types of model errors considered.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133835913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Direction of arrival estimation using state space modeling 使用状态空间建模的到达方向估计
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205524
S. Prasad, B. Chandna
{"title":"Direction of arrival estimation using state space modeling","authors":"S. Prasad, B. Chandna","doi":"10.1109/SPECT.1990.205524","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205524","url":null,"abstract":"Presents a class of high resolution direction finding techniques for passive, uniform linear arrays. These are based on the state space parameterization of a linear array data. Directions-of-arrival (DOAs) are obtained as the eigenvalues of the state transition matrix. These techniques are also applicable to the situation of source coherence in array processing problem.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"32 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131954494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Approximate AR modeling: a Schur approach 近似AR建模:Schur方法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205590
D. Pal, T. Kailath
{"title":"Approximate AR modeling: a Schur approach","authors":"D. Pal, T. Kailath","doi":"10.1109/SPECT.1990.205590","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205590","url":null,"abstract":"Based on a new Schur type algorithm for factorization and inversion of Toeplitz and quasi-Toeplitz matrices with arbitrary rank profile, a new approach towards approximate autoregressive modeling has been developed. This technique provides an alternative to the well known regularization scheme for covariance matrices with one or more nearly zero minors.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"583 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123936237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Bayesian information theoretic criterion for detection of number of signals in array processing 阵列处理中信号数检测的贝叶斯信息准则
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205560
A. Sano, H. Tsuji, K. Nagasawa
{"title":"Bayesian information theoretic criterion for detection of number of signals in array processing","authors":"A. Sano, H. Tsuji, K. Nagasawa","doi":"10.1109/SPECT.1990.205560","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205560","url":null,"abstract":"The generalized singular value decomposition approach is taken in AR spectral estimation in order to mitigate noise effects on the estimated spectrum. A Baysian information theoretic criterion is derived to attain the optimal truncation of smaller generalized singular values and then the separation of signal subspace and noise subspace. The effectiveness of the proposed criterion is investigated in array signal processing in cases of narrowband and broadband sources in comparison with the other AIC and the MDL criteria.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126663338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Focusing wideband arrays from 2-D spectral estimates 从二维光谱估计聚焦宽带阵列
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205551
M. Lagunas, G. Vazquez
{"title":"Focusing wideband arrays from 2-D spectral estimates","authors":"M. Lagunas, G. Vazquez","doi":"10.1109/SPECT.1990.205551","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205551","url":null,"abstract":"The authors describe the scope of focusing at the spectral level, showing to what degree the time and the spatial support of the aperture represents a fundamental bound in performance. Finally some solutions from the spectral estimation domain are envisaged.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129677120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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