IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.最新文献_第7页

Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm 基于共轭梯度算法的鲁棒降阶矩阵维纳滤波器

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506201

G. Dietl, M. Botsch, F. Dietrich, W. Utschick

{"title":"Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm","authors":"G. Dietl, M. Botsch, F. Dietrich, W. Utschick","doi":"10.1109/SPAWC.2005.1506201","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506201","url":null,"abstract":"In this paper, we consider the block conjugate gradient (BCG) algorithm as a robust and reduced-rank implementation of the matrix Wiener filter (MWF). Stopping the BCG iterations before the algorithm converges, reduces the computational complexity as well as the performance loss due to channel estimation errors which is especially a problem in low sample support scenarios. We investigate the inherent robustness of the BCG method by deriving the corresponding filter factor matrix which is a well-known tool in the theory of ill-posed problems to describe and analyze regularizing effects. Moreover, we present a robust BCG algorithm where we applied the regularization method of diagonal loading in order to increase both robustness against estimation errors and flexibility in choosing the number of BCG iterations without decreasing performance. Finally, we use quasi-optimal loading instead of common heuristic choices. Simulation results of a frequency-selective multi-user single-input multiple-output (MU-SIMO) system show the improved performance of the robust BCG filter compared to the conventional MWF despite of the enormously reduced computational complexity.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114054149","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

Performance of iterative channel estimation and iterative PIC detection for the uplink coded MC-CDMA system 上行编码MC-CDMA系统的迭代信道估计和迭代PIC检测性能

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1505880

Y. Yuan-Wu, R. Legouable

引用次数: 4

Adaptive neighborhoods for manifold learning-based sensor localization 基于流形学习的自适应邻域传感器定位

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506310

Neal Patwari, A. Hero III

引用次数: 14

Performance analysis of an amplify-based differential modulation for wireless relay networks under Nakagami-m fading channels 中川米衰落信道下无线中继网络基于放大差分调制的性能分析

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1505902

Qiang Zhao, Hongbin Li

引用次数: 23

Joint blind channel and carrier frequency offset estimation in orthogonally space-time block coded MIMO systems 正交空时分组编码MIMO系统中的联合盲信道和载波频偏估计

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506048

S. Shahbazpanahi, A. Gershman, G. Giannakis

引用次数: 10

Low-complexity nulling-canceling detection algorithm for coded MIMO systems with near-optimal performance 近乎最优性能的编码MIMO系统的低复杂度零抵消检测算法

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506204

W. Mo, Z. Wang

{"title":"Low-complexity nulling-canceling detection algorithm for coded MIMO systems with near-optimal performance","authors":"W. Mo, Z. Wang","doi":"10.1109/SPAWC.2005.1506204","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506204","url":null,"abstract":"We propose a nulling/canceling algorithm for decoding coded multi-input multi-output (MIMO) transmissions over flat fading channels. The algorithm works with a soft-input soft-output error-control decoder to iteratively detect the information symbols. Our algorithm is based on the BLAST (Bell-Labs Layered Space-Time) nulling/canceling algorithm, with the following differences: i) prior information from the error-control decoder is incorporated, ii) the ordering is based on a posteriori probabilities instead of signal to noise ratio (SNR), and iii) soft (as opposed to hard) interferences computed from a posteriori probabilities are canceled. Based on a previous work on low-complexity nulling/canceling without prior information and with SNR ordering, we present a modified \"square-root\" algorithm for the proposed nulling canceling detection scheme, with cubic-order complexity. We compared the performance of an iterative detection and decoding scheme based on the proposed MIMO detector and that based on a maximum a posteriori (MAP) detector. In a 4/spl times/4 system, our proposed detector had the same performance as the MAP detector for binary phase-shift keying (BPSK) modulation. For 16-quadrature amplitude modulation, our algorithm came within 1 dB of the performance of an approximated MAP detector, list sphere decoder, at bit error rate of 10/sup -4/.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134053504","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

Cooperative diversity with incremental redundancy turbo coding for quasi-static wireless networks 准静态无线网络的增量冗余turbo编码合作分集

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506248

Ruoheng Liu, P. Spasojevic, E. Soljanin

引用次数: 11

Semi-blind ML channel estimation for MC-CDMA systems with code-multiplexed pilots 码多导MC-CDMA系统的半盲ML信道估计

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506234

F. Rubio, X. Mestre

引用次数: 0

An eigenvector-based algebraic approach for two-dimensional frequency estimation with improved identifiability 基于特征向量的二维频率估计代数方法

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506221

J. Liu, X. Liu

引用次数: 5

Statistical performance of subspace matching mobile localization using experimental data 基于实验数据的子空间匹配移动定位统计性能研究

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506219

M. Nezafat, M. Kaveh, H. Tsuji, T. Fukagawa

{"title":"Statistical performance of subspace matching mobile localization using experimental data","authors":"M. Nezafat, M. Kaveh, H. Tsuji, T. Fukagawa","doi":"10.1109/SPAWC.2005.1506219","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506219","url":null,"abstract":"In this paper, we present some statistical results on localization performance of subspace matching localization (SML), a technique for localizing non-cooperative transmitters in a microcellular environment Nezafat, M et al. (2004) using one (multiple) base-station(s) that is (are) equipped with an (multiple) antenna array(s). We use extensive experimental measurements obtained in Yokosuka, Japan. SML exploits the dissimilarities in spatial multipath propagation characteristics of distinct locations, as reflected in the received respective signal subspaces to localize a transmitter. The location detector utilizes a match of the received signal subspace with those in a database. The database can be constructed by measurement campaigns, or ray tracing based simulations. In this paper, we report the localization accuracy of SML using a database that is constructed using a measurement campaign and up to two base stations. Issues regarding the variations of signal subspace due to non-stationarities in the environment and tracking of mobile transmitters are also addressed briefly.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"61 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600625","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: 8