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2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)最新文献

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A Bayesian non parametric time-switching autoregressive model for multipath errors in GPS navigation GPS导航多径误差的贝叶斯非参数时变自回归模型
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569698
A. Giremus, V. Pereira
{"title":"A Bayesian non parametric time-switching autoregressive model for multipath errors in GPS navigation","authors":"A. Giremus, V. Pereira","doi":"10.1109/SAM.2016.7569698","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569698","url":null,"abstract":"Multipath is one of the most penalizing error sources in GPS navigation. It occurs when the satellite signals are reflected on obstacles before reaching the GPS receiver, corrupting the satellite-receiver distance measurements. In recent works, Bayesian non parametric (BNP) models of the measurement errors in the presence of multipath were considered. The latter were assumed to be distributed according to an a priori infinite mixture of Gaussian probability density functions. However, the errors were considered temporally white. This assumption does not hold in practice. In this paper, we extend the proposed BNP formalism to the case of time-correlated errors. For this purpose, we model the correlated measurement errors as an infinite mixture of autoregressive processes. Then, the on-line joint estimation of the navigation variables, the correlated measurement errors and their parameters from the GPS measurements is performed by particle filtering.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129118738","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
Tell me where you are and I tell you where you are going: Estimation of dynamic mobility graphs 告诉我你在哪里，我就告诉你要去哪里:动态迁移图的估计
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569685
Marcelo Fiori, P. Musé, Mariano Tepper, G. Sapiro
{"title":"Tell me where you are and I tell you where you are going: Estimation of dynamic mobility graphs","authors":"Marcelo Fiori, P. Musé, Mariano Tepper, G. Sapiro","doi":"10.1109/SAM.2016.7569685","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569685","url":null,"abstract":"The interest in problems related to graph inference has been increasing significantly during the last decade. However, the vast majority of the problems addressed are either static, or systems where changes in one node are immediately reflected in other nodes. In this paper we address the problem of mobility graph estimation, when the available dataset has an asynchronous and time-variant nature. We present a formulation for this problem consisting on an optimization of a cost function having a fitting term to explain the observations with the dynamics of the system, and a sparsity promoting penalty term, in order to select the paths actually used. The formulation is tested on two publicly available real datasets on US aviation and NY taxi traffic, showing the importance of the problem and the applicability of the proposed framework.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"99 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123126344","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
Cooperative navigation and coverage identification with random gossip and sensor fusion 基于随机干扰和传感器融合的协同导航与覆盖识别
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569611
A. R. Braga, Marcelo G. S. Bruno, C. Fritsche, F. Gustafsson
{"title":"Cooperative navigation and coverage identification with random gossip and sensor fusion","authors":"A. R. Braga, Marcelo G. S. Bruno, C. Fritsche, F. Gustafsson","doi":"10.1109/SAM.2016.7569611","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569611","url":null,"abstract":"This paper is concerned with cooperative Terrain Aided Navigation of a network of aircraft using fusion of Radar Altimeter and inter-node range measurements. State inference is performed using a Rao-Blackwellized Particle Filter with online measurement noise statistics estimation. For terrain coverage measurement noise parameter identification, an online Expectation Maximization algorithm is proposed, where local sufficient statistics at each node are calculated in the E-step, which are then distributed to neighboring nodes using a random gossip algorithm to perform the M-step at each node. Simulation results show that improvement on positioning and calibration performance can be achieved compared to a non-cooperative approach.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133013856","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
Order-controlled multiple shift SBR2 algorithm for para-Hermitian polynomial matrices 准厄米多项式矩阵的序控多移位SBR2算法
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569742
Zeliang Wang, J. McWhirter, J. Corr, Stephan Weiss
{"title":"Order-controlled multiple shift SBR2 algorithm for para-Hermitian polynomial matrices","authors":"Zeliang Wang, J. McWhirter, J. Corr, Stephan Weiss","doi":"10.1109/SAM.2016.7569742","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569742","url":null,"abstract":"In this work we present a new method of controlling the order growth of polynomial matrices in the multiple shift second order sequential best rotation (MS-SBR2) algorithm which has been recently proposed by the authors for calculating the polynomial matrix eigenvalue decomposition (PEVD) for para-Hermitian matrices. In effect, the proposed method introduces a new elementary delay strategy which keeps all the row (column) shifts in the same direction throughout each iteration, which therefore gives us the flexibility to control the polynomial order growth by selecting shifts that ensure non-zero coefficients are kept closer to the zero-lag plane. Simulation results confirm that further order reductions of polynomial matrices can be achieved by using this direction-fixed delay strategy for the MS-SBR2 algorithm.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133447775","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
Experimental assessment of 5G-candidate modulation schemes at extreme speeds 极限速度下5g候选调制方案的实验评估
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569632
J. Rodríguez-Piñeiro, M. Lerch, Tomás Domínguez-Bolaño, J. García-Naya, S. Caban, L. Castedo
{"title":"Experimental assessment of 5G-candidate modulation schemes at extreme speeds","authors":"J. Rodríguez-Piñeiro, M. Lerch, Tomás Domínguez-Bolaño, J. García-Naya, S. Caban, L. Castedo","doi":"10.1109/SAM.2016.7569632","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569632","url":null,"abstract":"The radio access technology for railway communications is expected to migrate from GSM for Railways (GSM-R) to fourth generation (4G). Recently, considerable attention has been devoted to high-speed trains since this particular environment poses challenging problems in terms of performance simulation and measurement. In order to considerably decrease the cost and complexity of high-speed measurement campaigns, we have proposed a technique to induce effects caused by highly-time varying channels on multicarrier signals by conducting measurements at low speeds. This technique has been proved to be accurate for the cases of WiMAX and Long Term Evolution (LTE) standardized waveforms. In this work, we evaluate experimentally the performance of this technique by employing modulation schemes proposed for fifth generation (5G) systems. More specifically, we compare the performance obtained by transmitting Filter Bank Multicarrier (FBMC) schemes with two different prototype filters at different velocities in a controlled measurement environment.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131535054","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
Prototyping and measurements for a LiFi system LiFi系统的原型设计和测量
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569701
K. Hu, A. G. Armada, M. S. Fernández, Antonio Royo
{"title":"Prototyping and measurements for a LiFi system","authors":"K. Hu, A. G. Armada, M. S. Fernández, Antonio Royo","doi":"10.1109/SAM.2016.7569701","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569701","url":null,"abstract":"We are witnessing a revolution in wireless technology where Light Fidelity (LiFi) emerges as one potential candidate. In this paper we present a LiFi prototype that allows us to verify the feasibility of deploying this technology. The prototype is based on two Spartan 6 FPGAs and uses a Light Emitting Diode (LED) to transport the information through amplitude changes of the light. The receiver uses a low dark current PIN photodiode. We describe the system design, the receiver algorithms and the measurement set-up. We present some measurements where in a Line of Sight (LOS) channel the received pulses are shown to match the transmitted ones.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131611781","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
Beamforming designs for multiuser transmissions in FDD massive MIMO systems using partial CSIT 使用部分CSIT的FDD大规模MIMO系统中多用户传输的波束形成设计
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569650
Ming-Fu Tang, Szu-Yu Wang, B. Su
{"title":"Beamforming designs for multiuser transmissions in FDD massive MIMO systems using partial CSIT","authors":"Ming-Fu Tang, Szu-Yu Wang, B. Su","doi":"10.1109/SAM.2016.7569650","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569650","url":null,"abstract":"In this paper, we consider an effective acquisition mechanism of partial channel state information at the transmitter (CSIT) for frequency-division duplex (FDD) massive MIMO systems, based on which two downlink beamforming methods are proposed. The partial CSIT is in the form of downlink angles of departure (AoDs) and the amplitudes of the strongest paths of each UE. By exploiting the reciprocity between downlink AoDs and uplink angles of arrival (AoAs), the partial CSIT can be acquired through downlink training and uplink feedback effectively. Therefore, the feasibility of FDD massive MIMO systems is greatly enhanced. Simulation results demonstrate the superiority of the proposed methods compared to other methods in the sense of fairness and achievable sum rate.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131336743","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
New Cramér-Rao bound expressions for coprime and other sparse arrays 素数和其他稀疏数组的新cram<s:1> - rao界表达式
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569620
Chun-Lin Liu, P. Vaidyanathan
{"title":"New Cramér-Rao bound expressions for coprime and other sparse arrays","authors":"Chun-Lin Liu, P. Vaidyanathan","doi":"10.1109/SAM.2016.7569620","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569620","url":null,"abstract":"The Cramér-Rao bound (CRB) offers a lower bound on the variances of unbiased estimates of parameters, e.g., directions of arrival (DOA) in array processing. While there exist landmark papers on the study of the CRB in the context of array processing, the closed-form expressions available in the literature are not easy to use in the context of sparse arrays (such as minimum redundancy arrays (MRAs), nested arrays, or coprime arrays) for which the number of identifiable sources D exceeds the number of sensors N. Under such situations, the existing literature does not spell out the conditions under which the Fisher information matrix is nonsingular, or the condition under which specific closed-form expressions for the CRB remain valid. This paper derives a new expression for the CRB to fill this gap. The conditions for validity of this expression are expressed as the rank condition of a matrix defined based on the difference coarray. The rank condition and the closed-form expression lead to a number of new insights. For example, it is possible to prove the previously known experimental observation that, when there are more sources than sensors, the CRB stagnates to a constant value as the SNR tends to infinity.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130043895","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
Single snapshot DOA estimation in the presence of mutual coupling for arbitrary array structures 任意阵列结构相互耦合时的单快照DOA估计
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569628
A. Elbir, T. E. Tuncer
{"title":"Single snapshot DOA estimation in the presence of mutual coupling for arbitrary array structures","authors":"A. Elbir, T. E. Tuncer","doi":"10.1109/SAM.2016.7569628","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569628","url":null,"abstract":"In this paper, single snapshot direction-of-arrival (DOA) estimation under mutual coupling (MC) is considered with arbitrary array structures. A compressed sensing approach is utilized and a joint-sparse recovery algorithm is proposed. In this respect, both spatial source directions and MC coefficients are embedded into a joint-sparse vector. A new dictionary matrix is defined using the symmetricity of MC matrix. The proposed approach does not depend on the structure of MC matrix and it is suitable for any type of array geometry. In the simulations, the proposed method is evaluated for a planar array where the antennas are placed randomly in 2-D space. It is shown that the proposed method effectively estimates the source parameters and performs significantly better than the alternative methods.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130076416","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: 7
Distributed fractional programming in matched multiple access channels 匹配多址信道中的分布式分式编程
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2016-07-10 DOI: 10.1109/SAM.2016.7569619
A. Zappone, Eduard Axel Jorswieck, Amir Leshem
{"title":"Distributed fractional programming in matched multiple access channels","authors":"A. Zappone, Eduard Axel Jorswieck, Amir Leshem","doi":"10.1109/SAM.2016.7569619","DOIUrl":"https://doi.org/10.1109/SAM.2016.7569619","url":null,"abstract":"This work deals with the problem of distributed resource allocation in MIMO MC MAC networks. The assignment between users and subcarriers is allocated together with the users' transmit powers for energy efficiency maximization, by means of a novel approach which merges the popular Dinkelbach's algorithm with stable matching. A distributed algorithm is presented, which can be implemented in a fully decentralized way. The algorithm has low computational complexity which comes at the price of weaker optimality properties. Additionally, a novel energy consumption model, which explicitly accounts for the energy consumption due to feedback transmissions, is employed and it is shown that the proposed distributed algorithm can improve the energy efficiency compared to state of the art centralized resource allocation algorithms.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338750","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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