2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications最新文献

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Semi-Blind Maximum Likelihood Joint Channel Estimation / Data Detection for MIMO Fading Channels MIMO衰落信道的半盲最大似然联合信道估计/数据检测
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346427
C. Rizogiannis, E. Kofidis, C. Papadias, S. Theodoridis
{"title":"Semi-Blind Maximum Likelihood Joint Channel Estimation / Data Detection for MIMO Fading Channels","authors":"C. Rizogiannis, E. Kofidis, C. Papadias, S. Theodoridis","doi":"10.1109/SPAWC.2006.346427","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346427","url":null,"abstract":"The aim of this paper is to investigate receiver techniques for ML joint channel/data estimation in flat fading MIMO channels that are both i) data efficient and ii) computationally attractive. The performance of iterative least squares (LS) for channel estimation combined with sphere decoding (SD) for data detection is examined in the first part, for block fading channels, demonstrating the data efficiency provided by the semi-blind approach. In the second part, the case of continuous fading channels is addressed with the aid of recursive least squares (RLS). The observed relative robustness of the ML solution to channel variations is exploited in deriving a block QR-based RLS-SD scheme, which allows significant complexity savings with little or no performance loss","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134284542","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
Robust Sensor Network Positioning Based on Projections onto Circular and Hyperbolic Convex Sets (POCS) 基于圆形和双曲凸集投影的鲁棒传感器网络定位
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346399
Mats Rydström, E. Ström, A. Svensson
{"title":"Robust Sensor Network Positioning Based on Projections onto Circular and Hyperbolic Convex Sets (POCS)","authors":"Mats Rydström, E. Ström, A. Svensson","doi":"10.1109/SPAWC.2006.346399","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346399","url":null,"abstract":"We consider the problem of locating a signal-source node, using characteristic signals emitted by the node that are captured by a set of sensor nodes. This estimation problem has often been formulated as a weighted least-squares problem in the literature. Received signal strength and asynchronous time-of-arrival measurements, however, give rise to objective functions with multiple local minima and saddle-points, complicating the optimization process. Recently, the method of projection onto convex sets (POCS) was suggested as a means to estimate source position, when received signal strength measurements are available. POCS has been shown to be robust to local minima in the objective function, is of low complexity, and is possible to distribute over the sensor nodes in the network. The drawback of POCS, when convex sets bounded by circles are used, is its poor performance in locating source nodes outside the outer perimeter of sensor nodes. We propose an extension to the presented POCS algorithm, called hyperbolic POCS, that increases the performance of circular POCS, allows for positioning of source nodes outside the outer perimeter of sensor nodes, and is applicable also for the case of asynchronous time-of-arrival measurements","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132529359","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: 43
Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information 基于统计信道状态信息的广播信道最小-最大MSE预编码
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346493
R. El Assir, F. Dietrich, M. Joham, W. Utschick
{"title":"Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information","authors":"R. El Assir, F. Dietrich, M. Joham, W. Utschick","doi":"10.1109/SPAWC.2006.346493","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346493","url":null,"abstract":"Linear precoding for the wireless MIMO broadcast channel with multiple antennas at the transmitter and non-cooperative single antenna receivers is considered. For statistical channel state information (CSI) at the transmitter a novel optimization problem for adaptive precoding based on the mean square error (MSE) is solved, which can also deal with incomplete CSI at the receivers, i.e., the receivers' channel estimates rely on a common pilot channel. We explicitly model the receivers' (limited) processing capabilities, which leads to a performance advantage over existing signal-to-interference-and-noise-ratio (SINR) approaches","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133435570","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
Parametric Characterization and Estimation of Bi-Azimuth Dispersion Path Components 双方位色散路径分量的参数表征与估计
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346445
X. Yin, Troels Pedersen, N. Czink, B. Fleury
{"title":"Parametric Characterization and Estimation of Bi-Azimuth Dispersion Path Components","authors":"X. Yin, Troels Pedersen, N. Czink, B. Fleury","doi":"10.1109/SPAWC.2006.346445","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346445","url":null,"abstract":"In this contribution, we derive a probability distribution suitable for characterizing bi-azimuth (azimuth of arrival and azimuth of departure) direction dispersion of individual path components in the response of the propagation channel. This distribution belongs to the family of generalized von-Mises-Fisher distributions. The elements in this family maximize the entropy under the constraint that the expectations and correlation matrix of the directions are known. The probability density function (pdf) of the proposed distribution is used to describe the bi-azimuth power spectrum of individual path components. An estimator of the parameters of the pdf is derived and applied to characterize the spreads in both azimuth of departure and azimuth of arrival, as well as the correlation between both azimuths of individual path components. Preliminary results from an experimental investigation demonstrate the applicability of the proposed characterization in real environments","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130905145","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: 17
Second-Order Blind Source Separation: A New Expression of Instantaneous Separating Matrix for Mixtures of Delayed Sources 二阶盲源分离:延迟源混合瞬时分离矩阵的一种新表达式
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346397
G. Chabriel, J. Barrère
{"title":"Second-Order Blind Source Separation: A New Expression of Instantaneous Separating Matrix for Mixtures of Delayed Sources","authors":"G. Chabriel, J. Barrère","doi":"10.1109/SPAWC.2006.346397","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346397","url":null,"abstract":"In this paper, we study the blind separation of mixtures of propagating waves (delayed sources) encountered for example in underwater telephone (UWT) systems. We suggest a new second-order statistics method using as many observations as sources. First, we show that each of the N delayed sources can be developed as a particular linear combination of the different temporal-derivatives of the N observations. Under some assumptions, an instantaneous rectangular separating matrix is then identified by the joint diagonalization of a set of covariance matrices estimated from the observations and its derivatives. The algorithm used takes into account the particular structure of the spectral mixing matrix encountered. A numerical simulation is provided in a 3-sources/3- observations case for propagating audio signals","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115240766","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
New Nonlinear Detector for Interference Cancellation in Spread Spectrum Overlay Systems 扩频叠加系统中新型非线性干扰消除检测器
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346371
S. M. Saberali
{"title":"New Nonlinear Detector for Interference Cancellation in Spread Spectrum Overlay Systems","authors":"S. M. Saberali","doi":"10.1109/SPAWC.2006.346371","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346371","url":null,"abstract":"Overlaying spread spectrum systems on narrowband services has been proposed as a way to take greater bandwidth efficients with respect to sparsely narrowband systems. It is shown that, the performance of both narrowband and spread spectrum systems in a overlay situation significantly degraded by each other. This paper presents a new nonlinear detector which enhances the performance of narrowband considerably. In our approach we use maximum likelihood (ML) as maximum entropy, which are two optimal criteria. Computer simulation results show that the proposed detector has much better performance than the conventional matched filter. The estimated narrowband signal can be subtracted from received signal in the spread spectrum receiver to enhance its performance","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128659096","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
Spreading Sequence Assignment in WCDMA for Distributed Antenna Arrays Based on Interference Model 基于干扰模型的WCDMA分布式天线阵列扩频序列分配
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346438
C. Botella, G. Piñero, Alberto Gonzalez, M. D. Diego
{"title":"Spreading Sequence Assignment in WCDMA for Distributed Antenna Arrays Based on Interference Model","authors":"C. Botella, G. Piñero, Alberto Gonzalez, M. D. Diego","doi":"10.1109/SPAWC.2006.346438","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346438","url":null,"abstract":"A new spreading sequence assignment scheme for WCDMA is proposed in this paper. It is based on a simple but exhaustive model of the interferences involved: multiple access (MAI) and inter-finger interferences (IFI) at a mobile RAKE receiver output. These interferences are mainly determined in this work by the correlation properties of the spreading sequences. The new approach assigns spreading sequences in a way that minimum interference power between active users can be achieved. Simulation results show that the new scheme outperforms natural (consecutive ordering) scheme for the typical central situation of antenna arrays in a cell, but these benefits are even higher for a configuration of distributed antenna arrays around the cell","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125207754","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
Iterative Phase-Based Frequency Estimation with Extended Threshold and Estimation Range at Moderate Complexity 中等复杂度下基于迭代相位的扩展阈值和估计范围频率估计
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346347
I. Perisa, J. Lindner
{"title":"Iterative Phase-Based Frequency Estimation with Extended Threshold and Estimation Range at Moderate Complexity","authors":"I. Perisa, J. Lindner","doi":"10.1109/SPAWC.2006.346347","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346347","url":null,"abstract":"In previous works, many efficient phase-based estimators with small computational complexity have been proposed. Most of them suffer from a very high threshold - i.e. below a certain signal-to-noise ratio (SNR) the estimator variance increases rapidly. Most of the approaches that improve the threshold are quite complex or have a limited estimation range. In a previous paper it was shown that iterative frequency offset estimation schemes can achieve a low threshold at a moderate complexity. Here we show how they can be combined with different estimators to achieve a faster convergence rate. This enables the construction of estimators that can easily be adapted to different requirements concerning estimation range, performance, and complexity","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127217171","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
Approaching the Delay-Limited OFDM Broadcast Capacity with OFDMA 用OFDMA逼近时延限制的OFDM广播容量
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346469
G. Wunder, T. Michel
{"title":"Approaching the Delay-Limited OFDM Broadcast Capacity with OFDMA","authors":"G. Wunder, T. Michel","doi":"10.1109/SPAWC.2006.346469","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346469","url":null,"abstract":"Recently, in a companion paper we introduced the delay-limited capacity (DLC) region of an orthogonal frequency division multiplexing (OFDM) broadcast channel (BC). The DLC region is of utmost interest, since it e.g. provides an ultimate performance limit for all minimum sum power algorithms with given rate requirements. In this work we use the principle of rate water-filling to derive bounds on the OFDM DLC based on order statistics. We enhance these results to develop analytical lower bounds on the OFDM BC DLC region. The bounds are based on frequency division multiple access (FDMA) and ordinal channel state information (CSI), suggesting suboptimal but simple resource allocation schemes. Finally, these schemes are compared to a new algorithm using full CSI. Every practical sum power minimization algorithm using FDMA has to compete with these lower and upper bounds","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116668916","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
Impact of a Line of Sight Component on the Performance of a MIMO System Designed under Statistical Channel Knowledge 基于统计信道知识设计的MIMO系统中视距分量对性能的影响
2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications Pub Date : 2006-07-02 DOI: 10.1109/SPAWC.2006.346348
A. Pascual-Iserte, M. Payaró, A. Pérez-Neira, M. Lagunas
{"title":"Impact of a Line of Sight Component on the Performance of a MIMO System Designed under Statistical Channel Knowledge","authors":"A. Pascual-Iserte, M. Payaró, A. Pérez-Neira, M. Lagunas","doi":"10.1109/SPAWC.2006.346348","DOIUrl":"https://doi.org/10.1109/SPAWC.2006.346348","url":null,"abstract":"This paper deals with the problem of the design of a multi-antenna system assuming that only a statistical channel knowledge is available at the transmitter. More precisely, in the proposed design it is considered that an optimum maximum likelihood detector is employed at the receiver side and that the channel has a line of sight component. The design is obtained to minimize the worst pairwise error probability, which is averaged over the channel statistics. The benefits of exploiting this statistical channel knowledge are compared with a system requiring no channel state information at the transmitter. Finally, the asymptotic gain at high transmit power thanks to the line of sight component is found in closed-form","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117138090","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
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