2010 2nd International Workshop on Cognitive Information Processing最新文献_第4页

Eye fixations identification based on statistical analysis - Case study 基于统计分析的眼球注视识别。案例研究

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604221

Giacomo Veneri, P. Piu, P. Federighi, F. Rosini, A. Federico, A. Rufa

引用次数: 15

Bayesian extensions of non-negative matrix factorization 非负矩阵分解的贝叶斯扩展

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604130

R. Schachtner, G. Pöppel, E. Lang

引用次数: 8

MSE-based linear transceiver optimization in MIMO cognitive radio networks with imperfect channel knowledge 信道知识不完全的MIMO认知无线网络中基于mse的线性收发器优化

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604177

Xitao Gong, A. Ishaque, Guido Dartmann, G. Ascheid

{"title":"MSE-based linear transceiver optimization in MIMO cognitive radio networks with imperfect channel knowledge","authors":"Xitao Gong, A. Ishaque, Guido Dartmann, G. Ascheid","doi":"10.1109/CIP.2010.5604177","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604177","url":null,"abstract":"This paper addresses the robust transceiver optimization in multiple-input and multiple-output cognitive radio network, where primary users (PUs) and secondary users (SUs) coexist in the same spectrum band. In the design of cognitive system, the performance degradation perceived by PU should be strictly restricted even with imperfect channel state information (CSI) at cognitive transmitter and receivers. Therefore, this work aims at minimizing the sum mean square error of secondary downlink network and strictly limiting the interference caused to PUs with imperfect channel knowledge. Two types of CSI error models are considered: the bounded model and the stochastic model. Since the original optimization problems are non-convex for the joint optimization, firstly it is decomposed into two subproblems to optimize the precoding and equalizers separately, then the iterative algorithms are proposed to solve the subproblems in an alternating way. The challenge is to design the efficiently solvable forms of these subproblems. For the bounded model, Schur complement lemma is utilized to convert the subproblems into convex optimization problems. For the stochastic model, the problem is formulated either according to the stochastic rule or derived for the analytical solutions. The effectiveness and robustness of proposed algorithms are evaluated by the numerical results.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115170","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

Reinforcement learning-based multiband sensing policy for cognitive radios 基于强化学习的认知无线电多波段感知策略

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604133

J. Oksanen, J. Lundén, V. Koivunen

{"title":"Reinforcement learning-based multiband sensing policy for cognitive radios","authors":"J. Oksanen, J. Lundén, V. Koivunen","doi":"10.1109/CIP.2010.5604133","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604133","url":null,"abstract":"Cognitive radios (CR) and dynamic spectrum access (DSA) have been proposed as a way to exploit the underutilized radio spectrum by allowing secondary users to access the licensed frequencies in an opportunistic manner. The constraint set to the secondary use is that it should not interfere the primary users, i.e., the license holder. Hence, the secondary users need to sense the spectrum in order to classify a licensed frequency band as vacant or occupied. However, spectrum sensing can be a demanding task for a single user due to the random nature of the wireless channel, and to mitigate the effects of channel fading cooperative detection algorithms have been proposed. In this paper a multiband spectrum sensing policy for coordinating the cooperative sensing is proposed. It is based on dynamically allocating frequency hopping codes to the secondary users. The proposed policy employs the ∈-greedy reinforcement learning action selection to prioritize the sensing of different subbands and to select the best secondary users to sense them. The results show the proposed policy is able to significantly increase the obtained throughput in the secondary network and to reduce the number of missed detections of the primary signal.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129556471","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

A maximum-likelihood detector for coded OFDM transmission plagued by narrowband interference 编码OFDM传输受窄带干扰的最大似然检测器

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604218

M. Morelli, M. Moretti

引用次数: 0

Automatic computing resource awareness in resource managers for cognitive radios 认知无线电资源管理器中的自动计算资源感知

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604229

Ismael Gómez Miguelez, V. Marojevic, A. Gelonch

引用次数: 1

Brain connectivity analysis by reduction to pair classification 基于约简对分类的脑连通性分析

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604101

E. Olivetti, S. Veeramachaneni, Susanne Greiner, P. Avesani

引用次数: 1

A comparison among cooperative spectrum sensing approaches for cognitive radios 认知无线电协同频谱感知方法的比较

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604202

L. Bixio, M. Ottonello, M. Raffetto, C. Regazzoni, C. Armani

引用次数: 9

Track-before-detect algorithms for bistatic sonars 双基地声纳的探测前跟踪算法

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604142

D. Orlando, F. Ehlers, G. Ricci

{"title":"Track-before-detect algorithms for bistatic sonars","authors":"D. Orlando, F. Ehlers, G. Ricci","doi":"10.1109/CIP.2010.5604142","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604142","url":null,"abstract":"Track-before-detect (TBD) algorithms can improve track accuracy and follow low signal-to-noise ratio targets. A price paid for this increased performance is the high computational complexity of TBD implementations. In this work, we develop a new TBD approach capable of handling raw hydrophone data. In order to learn more about its performance and feasibility when applied to sonar, we use data from the sea trial PreDEMUS'06 with DEMUS sensor array of NATO Undersea Research Centre. As a first step, we introduce the sensor model for a bistatic sonar based on DEMUS receivers. Then, we formulate the TBD problem at hand as a binary hypothesis testing problem and derive a class of adaptive algorithms by using design procedures based upon the generalized likelihood ratio test. Remarkably, such detectors guarantee the constant false track acceptance rate property under the design assumptions with respect to the overall spectral properties of the noise. A preliminary performance analysis is presented. Finally, we discuss its potential to implement automatic track continuation and to prepare automatic classification for temporarily weak targets as these tasks are usually the challenges multistatic sonar systems have to overcome.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124076358","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: 32

Instantaneous frequency detection via ridge neighbor tracking 瞬时频率检测通过脊邻跟踪

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604104

V. Bruni, B. Piccoli, D. Vitulano, Silvia Marconi

引用次数: 5