Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.最新文献_第2页

Statistical Identifiability of Multidimensional Frequency Estimation with Finite Snapshots 有限快照下多维频率估计的统计可辨识性

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706182

Jun Liu, Xiangqian Liu

引用次数: 3

Optical Array Aspects of Computed Spectroscopy 计算光谱学的光学阵列方面

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706105

R. Hoctor, F. Wheeler, E. Barrett

引用次数: 0

Robust adaptive beamforming using variable loading 可变负载鲁棒自适应波束形成

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706072

Jing Gu, Patrick J. Wolfe

引用次数: 36

Concurrent Detection and Tracking using Multiple, Flying, Sensors 使用多个飞行传感器的并发检测和跟踪

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706185

R. Deming, L. Perlovsky

{"title":"Concurrent Detection and Tracking using Multiple, Flying, Sensors","authors":"R. Deming, L. Perlovsky","doi":"10.1109/SAM.2006.1706185","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706185","url":null,"abstract":"We develop a probabilistic technique for performing multiple target detection and tracking based on data from multiple, flying, sensors. Multiple sensors can facilitate detecting and discriminating low signal-to-clutter targets by allowing correlation between different sensor types and/or different aspect angles. However, the data association problem can cause the computational complexity of standard trackers to become prohibitively high when combining too much data - a problem which will be exacerbated when including data from multiple sensors. Dynamic logic (DL) is a probabilistic technique for performing data association, based upon maximum likelihood parameter estimation of mixture models, which does not suffer from a computational explosion with increasing amounts of data. Previously, a DL-based tracker was developed for the relatively simple case incorporating data from a stationary sensor platform. In this paper we expand the framework to incorporate multiple, moving, sensor platforms, which requires a revision in the parameter estimation equations. The framework is general enough to be valid for different sensor types, for example radar or electro-optical. Sample results from synthetic data are presented","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134142245","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: 9

Barankin Bounds for Target Localization by MIMO Radars MIMO雷达目标定位的Barankin边界

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706137

J. Tabrikian

引用次数: 47

Signal Strength Localization Bounds in Ad Hoc and Sensor Networks when Transmit Powers are Random 发射功率随机时Ad Hoc网络和传感器网络的信号强度定位界限

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1677207

Neal Patwari, A. Hero

引用次数: 25

Combined Cramer-Rao/Weiss-Weinstein Bound for Tracking Target Bearing 联合Cramer-Rao/Weiss-Weinstein Bound跟踪目标方位

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706136

K. Bell, H. van Trees

{"title":"Combined Cramer-Rao/Weiss-Weinstein Bound for Tracking Target Bearing","authors":"K. Bell, H. van Trees","doi":"10.1109/SAM.2006.1706136","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706136","url":null,"abstract":"A recursive Bayesian Cramer-Rao/Weiss-Weinstein bound for the discrete-time nonlinear filtering problem for the special case when the state-space model consists of a linear process model and a general (nonlinear) measurement model is developed. This type of model arises in many applications including target tracking. It is often the case that the recursive Bayesian Cramer-Rao bound (BCRB) developed by Tichavsky et al is a good predictor of mean-square error performance for some of the state vector parameters, but is a weak bound for other components. The recursive Weiss-Weinstein bound (WWB) developed by Rapoport & Oshman and Reece & Nicholson offers a potentially higher bound but is generally more difficult to derive and implement, and its evaluation involves choosing \"test points\" in the parameter space. It becomes equal to the BRCB in the limiting case when the test points equal zero. A bound which combines the BCRB with the WWB using non-zero test points only for a subset of the state-vector components can provide as tight a bound as the WWB while keeping the complexity manageable. We first derive the recursive bound for the linear process/nonlinear measurement model, then apply the bound to the problem of tracking the bearing and bearing rate of a narrowband source using observations from a sparse linear array. The bound is compared to the recursive BCRB and to simulated tracking performance. The BCRWWB provides a tighter bound than the BCRB for the bearing tracking error, which is subject to ambiguities","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"91 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120866655","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: 19

Preprocessing for Adaptive Spatial Filtering in Ground-Based Rotating Radar Systems 地基旋转雷达系统自适应空间滤波预处理

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706199

M. Oudin, J. Delmas, C. Germond, C. Adnet, F. Barbaresco

{"title":"Preprocessing for Adaptive Spatial Filtering in Ground-Based Rotating Radar Systems","authors":"M. Oudin, J. Delmas, C. Germond, C. Adnet, F. Barbaresco","doi":"10.1109/SAM.2006.1706199","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706199","url":null,"abstract":"An effective scheme for spatio-temporal processing with ground-based rotating radars consists in making adaptive spatial filtering, with frequent updates, followed by temporal processing. In presence of jamming and clutter, spatial processing first filters jammers, whereas temporal processing then filters clutter. However, starting by making a spatial adaptive processing requires to dispose of jamming + noise alone reference. But as clutter has not been filtered yet, it may be present in estimation data with stronger power than that of jammers. Therefore, the estimation of the jammer correlation matrix will be degraded resulting in a fall of performances of spatial processing. In this paper, it is first proposed to use a preprocessing before spatial filtering. The objective of this preprocessing is to reduce clutter power in the estimation samples used to compute adaptive spatial filters and thus improve the efficiency of jamming filtering. Then, a performance study of this preprocessing in terms of clutter power reduction is made, aiming at quantifying both the influence of antenna rotation and clutter decorrelation","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125775841","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

Performance tradeoffs among beamforming approaches 波束形成方法之间的性能权衡

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706077

Y. Rong, Y. Eldar, A. Gershman

{"title":"Performance tradeoffs among beamforming approaches","authors":"Y. Rong, Y. Eldar, A. Gershman","doi":"10.1109/SAM.2006.1706077","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706077","url":null,"abstract":"In this paper, three main criteria for the adaptive beamformer design are discussed: maximal signal-to-interference-plus-noise ratio (MSINR), minimal mean-squared error (MMSE), and minimal least-square error (MLSE). Although in the case of exactly known power and steering vector of the signal-of-interest (SOI), there are beamformers that can simultaneously meet the MMSE and MSINR criteria, this is no longer true when the exact knowledge of the steering vector is unavailable. To account for steering vector errors, a meaningful approach is to model the actual steering vector as random. In this paper, it is shown that in the latter case, the MMSE and MSINR criteria can not be simultaneously attained. We study the achievable region in the MSE-SINR plane and propose a new adaptive beamformer that can attain a frontier of operating points on the boundary of this region and, therefore, provide an optimal performance tradeoff among the MSINR and MMSE criteria. It is also shown that in the random steering vector case, the MLSE and MSINR criteria are simultaneously achievable and a new adaptive beamformer is proposed that satisfies both these criteria.","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013265","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

Toward Bandwidth Invariance of Spatial Processing in the Non-Cooperative Receiver 非合作接收机空间处理的带宽不变性研究

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006. Pub Date : 2006-07-12 DOI: 10.1109/SAM.2006.1706195

A. Shaw, M. Jamali, N. Wilkins

{"title":"Toward Bandwidth Invariance of Spatial Processing in the Non-Cooperative Receiver","authors":"A. Shaw, M. Jamali, N. Wilkins","doi":"10.1109/SAM.2006.1706195","DOIUrl":"https://doi.org/10.1109/SAM.2006.1706195","url":null,"abstract":"As the modern electro-magnetic environment in urban and battlefield scenarios becomes increasingly denser, system designers tend to gravitate toward wide bandwidth solutions. Not only do spread spectrum designs permit increased co-channel utilization, they also tend to be inherently more secure, decreasing the probability of intercept by non-cooperative receivers. This is in part due to the code that must be applied in order to modulate the information bandwidth into a much wider transmitted bandwidth. In addition the non-cooperative receiver must contend with issues of increased noise, decreased sensitivity, and increased signal processing resource requirements among others. The problem is further exacerbated for receivers that must perform emitter geo-location or other forms of spatial processing, since the conventional high-resolution techniques rely on phase measurements based on the monochromatic assumption. This paper will discuss some of the existing methods suggested to contend with wide bandwidth spatial processing for noncooperative receivers and their limitations. It will introduce a new method based on the bilinear transformation that overcomes some of these limitations. It will present simulation results that demonstrate the advantage of this technique","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129465153","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