2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop最新文献_第7页

The hybrid Cramér-Rao bound and the generalized Gaussian linear estimation problem 混合cramsamr - rao界与广义高斯线性估计问题

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606898

Y. Noam, H. Messer

引用次数: 8

Robust adaptive beamformers: A beampattern shaping approach 鲁棒自适应波束形成器:一种波束模式整形方法

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606876

S. Nai, W. Ser, Z. L. Yu

{"title":"Robust adaptive beamformers: A beampattern shaping approach","authors":"S. Nai, W. Ser, Z. L. Yu","doi":"10.1109/SAM.2008.4606876","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606876","url":null,"abstract":"Adaptive beamformers can degrade drastically in practice because they are highly sensitive to mismatches between the exploited assumptions and the actual characteristics of the sensor array, environment and sources. At low snapshots, the sidelobes can get very high due to errors in the array covariance matrix. This degrades the signal-to-interference-plus-noise-ratio (SINR). Recently, a robust adaptive beamformer based on worst-case optimization (RAB-WC), has reformulated beamforming as a second-order cone programming (SOCP) problem. It exhibits adaptive interference-rejection capability and robustness against large steering direction errors. However, the sidelobes in RAB-WC are indirectly controlled by a regularization factor and it is not clear how the factor value should be selected. In this paper, we propose a new framework based on the use of a set of beampattern shaping constraints. With this framework, the beamformer possesses not only adaptive interference-rejection capability and robustness against large steering direction errors, but also direct sidelobe control simultaneously. Unlike other state-of-the-art robust adaptive beamformers, the proposed beamformer is robust against moving interferences too. The proposed framework is generic and many beamformers can be derived to tackle specific problems.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121712434","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: 2

Analysis of 3-D shape estimation using bistatic multi-channel radar systems 双基地多通道雷达系统三维形状估计分析

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606913

P. Hashemzadeh, T. Rylander, M. Viberg

引用次数: 0

Iterative multi-channel equalization and decoding for high frequency underwater acoustic communications 高频水声通信的迭代多通道均衡与译码

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606839

J. Choi, R. Drost, A. Singer, J. Preisig

引用次数: 40

Spectrum sharing in wireless networks: A QOS-aware secondary multicast approach with worst user performance optimization 无线网络中的频谱共享:具有最差用户性能优化的qos感知的二次组播方法

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606816

K.T. Phany, S. Vorobyov, N. Sidiropoulos, C. Tellambura

引用次数: 5

On the estimation of the covariance eigenspectrum of array sample observations 阵列样本观测值的协方差特征谱估计

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606900

F. Rubio, X. Mestre

{"title":"On the estimation of the covariance eigenspectrum of array sample observations","authors":"F. Rubio, X. Mestre","doi":"10.1109/SAM.2008.4606900","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606900","url":null,"abstract":"In this paper, we propose an estimator of the eigenspectrum of the array observation covariance matrix that builds upon the well-known power method and is consistent for an arbitrarily large array dimension. Traditional estimators based on the eigendecomposition of the sample covariance matrix are known to be consistent provided that the number of observations grow to infinity with respect to any other dimension in the signal model. On the contrary, in order to avoid the loss in the estimation accuracy associated with practical finite sample-size situations, a generalization of the conventional implementation is derived that proves to be a very good approximation for a sample-size and an array dimension that are comparatively large. The proposed solution is applied to the construction of a subspace-based extension of the Capon source power estimator. For our purposes, we resort to the theory of the spectral analysis of large dimensional random matrices, or random matrix theory. As it is shown via numerical simulations, the new estimator turns out to allow for a significantly improved estimation accuracy in practical finite sample-support scenarios.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127843160","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: 2

Local and global calibration for high-resolution doa estimation in automotive radar 汽车雷达高分辨率方位估计的局部和全局标定

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606826

M. Schoor, Bin Yang

引用次数: 14

Resolution enhancement by HOS for small planar arrays 小平面阵列的HOS分辨率增强

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606827

U. Nickel

引用次数: 2

Beamspace adaptive beamforming based on principle component analysis 基于主分量分析的波束空间自适应波束形成

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606882

Lei Yu, W. Liu, R. Langley

引用次数: 3

Localization of orphan utility meters based on spatio-temporal signature information 基于时空特征信息的孤立电能表定位

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606848

Yimin D. Zhang, Xin Li, E. Monnerie, G. Pritchard, R. S. Cardozo

引用次数: 2