{"title":"Impact Analysis of Reciprocity Mismatch in Relaying Systems","authors":"Rongjiang Nie, Li Chen","doi":"10.1109/GlobalSIP45357.2019.8969353","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969353","url":null,"abstract":"Cooperative beamforming can provide a significant performance improvement for relaying system with the help of the channel state information (CSI). In time-division duplexing (TDD) mode, the estimated CSI will deteriorate due to the reciprocity mismatch. In this work, we examine the impact of the reciprocity mismatch in relaying systems. To evaluate the impact of the reciprocity mismatch for all the devices including sources, relays, and destinations, the closed-form expression of the achievable rate is derived. Then, we analyze the performance loss caused by the mismatch at the source side, the relay side, and the destination side respectively to show that the mismatch at the relay side dominates the impact. Simulation results are presented to verify the analytical results.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129075101","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}
Brayden DeBoon, Brayden Kent, Maciej Lacki, S. Nokleby, C. Rossa
{"title":"Multi-Objective Gain Optimizer for an Active Disturbance Rejection Controller","authors":"Brayden DeBoon, Brayden Kent, Maciej Lacki, S. Nokleby, C. Rossa","doi":"10.1109/GlobalSIP45357.2019.8969275","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969275","url":null,"abstract":"Active Disturbance Rejection Control (ADRC) has proven to be an efficient control method, however, the tuning of its parameters is a complicated endeavor. This paper explores the use of reference point based dominance in the traditional multi-objective non-dominated sorting genetic algorithm (NSGA-II) to perform the parameter tuning. The algorithm is applied to a simulation and physical implementation of an inverted pendulum system. The optimization method generated values that offered suitable performance among various fronts.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129202390","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}
{"title":"Ergodic Capacity Analysis for Full-Duplex Integrated Access and Backhaul System","authors":"Xiaoqian Zhang, Fangfang Liu, Hailun Xia","doi":"10.1109/GlobalSIP45357.2019.8969094","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969094","url":null,"abstract":"The 3GPP is investigating the concept of integrated access and backhaul (IAB) to provide high capacity wireless backhaul for 5G network. In this paper, we present an analysis of ergodic capacity for full-duplex IAB system, where full-duplex is introduced to further improve the ergodic capacity. Two kinds of interference are considered: the backward interference between two adjacent base stations and the residual self-interference introduced by full-duplex. We derive a closed-form solution of ergodic capacity by exploiting the probability density function of the end-to-end signal-to-interference-plus-noise ratio, and extend this derivation from three-hop system to arbitrary K-hop (K ≥3) system. Simulation results are further provided to demonstrate the validity of the proposed mathematical analysis, and show an obvious advantage over half-duplex IAB system.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126284511","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}
{"title":"Single RF Chain Hybrid Analog/Digital Beamforming for Mmwave Massive-mimo","authors":"Alireza Morsali, Sara Norouzi, B. Champagne","doi":"10.1109/GlobalSIP45357.2019.8969170","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969170","url":null,"abstract":"Hybrid beamforming has attracted considerable attention in recent years as an efficient and promising technique for the practical implementation of millimeter-Wave (mmWave) massive multiple-input multiple-output (MIMO) wireless systems. In this paper, we investigate hybrid analog/digital beamforming designs based on a single RF chain architecture (SRCA) for mmWave massive-MIMO. We first revisit the SRCA and then explore its shortcomings. Subsequently, we present three novel beamformer designs which achieve the performance of fully-digital precoding systems while eliminating the drawbacks of SRCA. We further explore the applications of these designs for optimal precoding in both single-user and multi- user scenarios. Finally, we present simulation results which confirm the superiority of our proposed designs to recently published works.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126214187","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}
{"title":"Stochastic Principal Component Analysis Via Mean Absolute Projection Maximization","authors":"M. Dhanaraj, Panos P. Markopoulos","doi":"10.1109/GlobalSIP45357.2019.8969411","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969411","url":null,"abstract":"Principal-Component Analysis (PCA) is a data processing method with numerous applications in signal processing and machine learning. At the same time, standard PCA has been shown to be very sensitive against faulty/outlying data. On the other hand, L1-norm-based PCA (L1-PCA), seeking to maximize the aggregate absolute projections of the processed data, has demonstrated sturdy corruption resistance. At the same time, in our big data era, there is a need for online (stochastic) algorithms for data analysis with limited storage and computation requirements. To this end, in this paper we extend batch L1-PCA and propose a novel algorithm for stochastic PC calculation based on mean absolute projection maximization, with formal convergence guarantees. Our numerical studies demonstrate the convergence and corroborate the corruption resistance of the proposed method.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130870544","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}
{"title":"A Multitaper Model for Quiet Voltage in Relative Ionospheric Opacity Meters","authors":"F. A. Marshall, D. Thomson, G. Takahara, R. Fiori","doi":"10.1109/GlobalSIP45357.2019.8969128","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969128","url":null,"abstract":"When modelling the stable baseline component of a riometer voltage series, the degradation of statistical performance can be significant if either the data are noisy or the underlying stochastic process is highly nonstationary. It is desirable to explore models which balance the high degree of stability of a quiet-day curve with low computation time. This paper introduces a multitaper method for generating quiet-day curves. A novel metric is introduced for determining the overlap fraction in a section-overlap model of the stable baseline component. The paper is also important because of its introduction of competitive methods for reconstructing periodic elements in an arbitrary random voltage signal.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130729679","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}
{"title":"New Results on Testing Against Independence with Rate-Limited Constraints","authors":"Sebastian Espinosa, Jorge F. Silva, P. Piantanida","doi":"10.1109/GlobalSIP45357.2019.8969535","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969535","url":null,"abstract":"This work studies error exponent limits in hypothesis testing (HT) in a distributed scenario with partial communication constraints. We derive general conditions on the Type I error restriction under which the error exponent of the optimal Type II error has a closed-form characterization for the task of testing against independence. We show that the error exponent is preserved for a family of decreasing Type I error restrictions. Complementing this analysis, new expressions are derived to bound the optimal Type II error probability for a finite number of observations. These bounds shed light about the velocity at which error exponent limits are attained with the number of samples.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133242820","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}
{"title":"Detection of False Data Injection Attack Using Graph Signal Processing for the Power Grid","authors":"Raksha Ramakrishna, A. Scaglione","doi":"10.1109/GlobalSIP45357.2019.8969373","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969373","url":null,"abstract":"In this paper we revisit the problem of False Data Injection (FDI) attacks to electric power systems synchrophasors measurements through the lens of graph signal processing (GSP). First, we introduce a physics based model that supports the empirical evidence that Phasor Measurement Unit (PMU) data are low-pass graph signals. This insight is used to investigate how one can leverage such a structure to construct more effective bad data detection (BDD) algorithms that can detect FDI attack signatures through appropriate utilization of the features of the PMU graph-signal.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131913144","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}
{"title":"Identity Retaining and Redundancy Reducing Gan for Person Re-Identification","authors":"Jiangbo Pei, Yinsong Xu","doi":"10.1109/GlobalSIP45357.2019.8969471","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969471","url":null,"abstract":"Person re-identification (ReID) models trained on one domain suffer performance degradation when tested on other domains. The existing works address this problem by domain translation with identity information preserving. However, these methods focused on adding pixel constraints to preserve identity, which also preserves a lot of redundant information. Therefore, this paper propose an identity retaining and redundancy reducing generative adversarial network (IRGAN), a domain translation method for person ReID. IRGAN is implemented by an unequal-cycle strategy, which imposes both foreground and feature constraints to domain translation. By imposing part-level feature constraints, the redundant information generated by pixel constraints can be reduced. Thus the performance of the domain translation is significantly improved. Experimental results indicate that our method is effective.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"31 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115613946","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}
Muhammad Azam, Marion Blayo, Jean-Simon Venne, M. Allegue-Martínez
{"title":"Occupancy Estimation Using Wifi Motion Detection via Supervised Machine Learning Algorithms","authors":"Muhammad Azam, Marion Blayo, Jean-Simon Venne, M. Allegue-Martínez","doi":"10.1109/GlobalSIP45357.2019.8969297","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969297","url":null,"abstract":"WiFi signals have tendency of getting disturbed by the motion of occupants and other movements in a zone. If we measure the level of this variation, it can represent the human activity in that zone. In this paper, we have proposed estimation of the occupancy by classifying the activity level obtained by disturbance in WiFi signal using several supervised machine learning approaches. We have prepared class labels using the schedule of people in the zone and verified it by counting the number of persons each hour. The proposed framework is tested and validated by collecting the data from an office space in a building and different performance measures are computed to see the effectiveness of this framework in occupancy estimation. In this task, Decision Tree and Random Forest are most stable with the highest accuracy of 95%.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115698983","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}