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2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing最新文献

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Large-System Analysis of Static Multiuser Detection with an Unknown Number of Users 未知用户数静态多用户检测的大系统分析
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497970
A. T. Campo, E. Biglieri
{"title":"Large-System Analysis of Static Multiuser Detection with an Unknown Number of Users","authors":"A. T. Campo, E. Biglieri","doi":"10.1109/CAMSAP.2007.4497970","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497970","url":null,"abstract":"We present a study of large multiple-access communication systems in which multiuser detection is performed without knowledge of the number of interferers. When the number of users increases without bound, optimum detectors can be analyzed asymptotically. A statistical physics approach based on spin glass theory provides analytical tools to deal with large systems in which the performance parameters to be analyzed (error probabilities, etc) are self-averaging in the limit. Of particular interest is the replica method that is used as a key technique to compute the free-energy function and the macroscopic parameters that determine the multiuser efficiency and the bit error probability in the large system limit.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103415","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: 5
Reduced Mode-Tree Expansion Rates in Jump Markov Estimators 降低跳跃马尔可夫估计的模式树展开率
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497989
T. Kronhamn
{"title":"Reduced Mode-Tree Expansion Rates in Jump Markov Estimators","authors":"T. Kronhamn","doi":"10.1109/CAMSAP.2007.4497989","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497989","url":null,"abstract":"In jump Markov linear systems, estimators usually consider possible mode changes at each measurement occasion. This paper shows that mode-tree expansion in jump Markov estimators can be done at rates lower than the measurement rate, with great savings in computations. In fact, even gains in performance can be made by choosing the right mode expansion rate. The paper shows the results from Monte Carlo simulations of a simple two-mode Markov system. The estimators used are the pruned optimal Bayesian estimator and the generalized pseudo Bayesian of order 2. The estimators are run with mode-tree expansions at the measurement rate as well as with reduced rates. The results show considerable savings in computations and optimum RMSE performance for a mode-tree expansion rate 2-4 times the highest mean transition rate of the modes. A tractable approximation of the CRLB for jump Markov linear systems is also introduced as a performance reference for the cases tested.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122158442","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
Linear Precoders for OSTBC Mimo Systems with Correlated Rayleigh Fading Channels Based on Convex Optimization 基于凸优化的相关瑞利衰落信道OSTBC Mimo系统线性预编码器
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4498005
K. Phan, S. Vorobyov, C. Tellambura
{"title":"Linear Precoders for OSTBC Mimo Systems with Correlated Rayleigh Fading Channels Based on Convex Optimization","authors":"K. Phan, S. Vorobyov, C. Tellambura","doi":"10.1109/CAMSAP.2007.4498005","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4498005","url":null,"abstract":"In this paper, we present a precoder design framework and a computationally simple precoding technique for OSTBC based MIMO wireless systems with both transmit and receive correlations for the case of Rayleigh fading. It is assumed that the correlation among receive antennas is independent of the correlation among transmit antennas (and vice versa). The transmit and receive correlation matrices are assumed to be available at the transmitter, while the instantaneous channel state information (CSI) is unknown. The proposed precoder minimizes the upper bound on the symbol error rate (SER). Our main contribution consists of developing a convex formulation for originally non-convex problem of SER minimization for precoder design. Additionally, it can be shown that previously known solutions for some special cases of precoder design naturally follow from our more general results. Numerical simulations illustrate the improved performance of the proposed precoders in terms of the output SER.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116802801","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
Designing Compressive Sensing DNA Microarrays 设计压缩感知DNA微阵列
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497985
M. A. Sheikh, O. Milenkovic, Richard Baraniuk
{"title":"Designing Compressive Sensing DNA Microarrays","authors":"M. A. Sheikh, O. Milenkovic, Richard Baraniuk","doi":"10.1109/CAMSAP.2007.4497985","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497985","url":null,"abstract":"A compressive sensing microarray (CSM) is a new device for DNA-based identification of target organisms that leverages the nascent theory of compressive sensing (CS). In contrast to a conventional DNA microarray, in which each genetic sensor spot is designed to respond to a single target organism, in a CSM each sensor spot responds to a group of targets. As a result, significantly fewer total sensor spots are required. In this paper, we study how to design group identifier probes that simultaneously account for both the constraints from the CS theory and the biochemistry of probe-target DNA hybridization. We employ belief propagation as a CS recovery method to estimate target concentrations from the microarray intensities.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121357962","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: 45
Inverse Scattering by Compressive Sensing and Signal Subspace Methods 基于压缩感知和信号子空间方法的逆散射
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497977
E. A. Marengo
{"title":"Inverse Scattering by Compressive Sensing and Signal Subspace Methods","authors":"E. A. Marengo","doi":"10.1109/CAMSAP.2007.4497977","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497977","url":null,"abstract":"This work, composed of the present conference paper plus the associated talk at the conference, explores new paradigms for both active and passive target localization, imaging and inverse scattering that are based on both signal subspace and compressive sensing methods (being of particular interest the basis pursuit problem). The signal subspace component provides signal-subspace-based imaging methods applicable to spatially extended targets. The compressive sensing approach is developed as a recent alternative to the solution of a broad class of target parameter estimation problems. Our research program emphasizes certain inverse source and scattering problems, for which one has a priori knowledge on sparsity of the sources, scatterers and their fields, in physically- derived representational dictionaries for those signals. The derived theory and algorithms are illustrated with computer simulations (the full account of which is left for the talk).","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126966616","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: 12
The Continuous Joint Sparsity Prior for Sparse Representations: Theory and Applications 稀疏表示的连续联合稀疏先验:理论与应用
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497981
M. Mishali, Y. Eldar
{"title":"The Continuous Joint Sparsity Prior for Sparse Representations: Theory and Applications","authors":"M. Mishali, Y. Eldar","doi":"10.1109/CAMSAP.2007.4497981","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497981","url":null,"abstract":"The classical problem discussed in the literature of compressed sensing is recovering a sparse vector from a relatively small number of linear non-adaptive projections. In this paper, we study the recovery of a continuous set of sparse vectors sharing a common set of locations of their non-zero entries. This model includes the classical sparse representation problem, and also its known extensions. We develop a method for joint recovery of the entire set of sparse vectors by the solution of just one finite dimensional problem. The proposed strategy is exact and does not use heuristics or discretization methods. We then apply our method to two applications: The first is spectrum-blind reconstruction of multi-band analog signals from point-wise samples at a sub-Nyquist rate. The second application is to the well studied multiple-measurement-vectors problem which addresses the recovery of a finite set of sparse vectors.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130212255","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: 6
Robust Transceiver Optimization for Multiuser Miso Broadcast Systems with MSE Targets 基于MSE目标的多用户Miso广播系统鲁棒收发优化
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497968
Nikola Vucic, Holger Boche
{"title":"Robust Transceiver Optimization for Multiuser Miso Broadcast Systems with MSE Targets","authors":"Nikola Vucic, Holger Boche","doi":"10.1109/CAMSAP.2007.4497968","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497968","url":null,"abstract":"The downlink transmission in a single-cell wireless system is considered. The base station is equipped with an antenna array, and each user has one antenna. It is assumed that the channel state information at the base station is erroneous, with the exact channels lying in specified uncertainty regions. Linear spatial filters of all participants in the system are jointly optimized in order to minimize the total transmit power of the base station, while satisfying the users' predefined mean square error targets for all channels that comply with the adopted error models. The solutions are obtained using semidefinite programming methods from convex optimization theory.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134598733","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: 5
Hybrid Adaptive Receive Processing for Multistatic Radar 多基地雷达混合自适应接收处理
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497951
S. Blunt, W. Dower, Karl Gerlach
{"title":"Hybrid Adaptive Receive Processing for Multistatic Radar","authors":"S. Blunt, W. Dower, Karl Gerlach","doi":"10.1109/CAMSAP.2007.4497951","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497951","url":null,"abstract":"For multiple radars operating within the same spectrum, the resulting mutual interference can severely degrade sensitivity. Recently, the multistatic adaptive pulse compression (MAPC) algorithm has demonstrated the ability to partially suppress multistatic interference to better estimate the illuminated range profiles. This estimation is accomplished by jointly determining, in an MMSE sense, the range cell complex amplitudes associated with each of the received radar waveforms. As the number of received radar signals increases, the residual error after the application of MAPC increases as well. However, instead of jointly estimating all the received signals, one may wish to selectively minimize the residual error for a particular received radar (e.g. the monostatic returns from the co-located transmitter). In this paper, selective error minimization is achieved by utilizing a MAPC-based variant of the CLEAN algorithm. The resulting hybrid CLEAN algorithm is shown to provide significant sensitivity improvement over MAPC alone.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"18 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132898556","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: 6
Adaptive Transmit/Receive Schemes for Mimo Radar Mimo雷达的自适应发射/接收方案
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497974
A. De Maio, M. Lops
{"title":"Adaptive Transmit/Receive Schemes for Mimo Radar","authors":"A. De Maio, M. Lops","doi":"10.1109/CAMSAP.2007.4497974","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497974","url":null,"abstract":"In this paper we consider the issue of adaptive transmission and detection for MIMO radars operating under clutter with unknown covariance. In particular, we show that the availability of a set of secondary data allows defining constant-false-alarm rate (CFAR) receivers starting upon a family of previously known non-adaptive structures. We also show that, if the clutter correlation remains constant in several scans, an adaptive waveform selection procedure can also be implemented. The results show that the adaptive transmit/receive structures perform satisfactorily in comparison to their non-adaptive counterparts, the loss being in the order of 2-3 dB's for customary values of the system parameters.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133470018","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: 4
Mimo Radar, Theory and Experiments Mimo雷达，理论与实验
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI: 10.1109/CAMSAP.2007.4497975
P. F. Sammartino, C. Baker, M. Rangaswamy
{"title":"Mimo Radar, Theory and Experiments","authors":"P. F. Sammartino, C. Baker, M. Rangaswamy","doi":"10.1109/CAMSAP.2007.4497975","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497975","url":null,"abstract":"In this paper the data acquired with the UCL radar network are analyzed and the properties of the received multistatic signals are investigated. Under a specific design of the experiment geometry, the statistical properties of the received signals are also studied.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128210287","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: 4
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