{"title":"Antenna array configurations for massive MIMO outdoor base stations","authors":"X. Artiga, J. Perruisseau-Carrier, A. Pérez-Neira","doi":"10.1109/SAM.2014.6882396","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882396","url":null,"abstract":"Massive MIMO predicts unprecedented capacity and energy efficiency improvements in future networks, by the use of base stations with hundreds of antennas. However the crucial question of determining suitable, or even optimal, antenna hardware solutions for deploying such a large number of antennas in constrained physical spaces is still open. Here we analyse the potential benefits of using compact arrays, dual-polarized arrays, and 2D arrays in outdoor scenarios using a realistic 3D spatial channel model and accurate antenna electromagnetic simulations. In particular we show that it is detrimental to reduce the distance between elements below λ/3. Actually, better performances can be achieved by increasing the number of antennas using dual polarization instead (if random polarization of user antennas is assumed). We also show that good performance can be achieved by using 2D arrays, but at the expense of an increased number of total elements when compared to horizontal linear arrays.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117223609","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}
B. Etzlinger, Florian Meyer, H. Wymeersch, F. Hlawatsch, Gerhard Müller, A. Springer
{"title":"Cooperative simultaneous localization and synchronization: Toward a low-cost hardware implementation","authors":"B. Etzlinger, Florian Meyer, H. Wymeersch, F. Hlawatsch, Gerhard Müller, A. Springer","doi":"10.1109/SAM.2014.6882331","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882331","url":null,"abstract":"Cooperative sensor self-localization (CSL) in wireless networks usually requires the nodes to be equipped with specific ranging hardware including ultra-wideband or ultrasonic distance sensors. Such designs are not suitable for application in low-cost, low-power sensor networks. Here, we demonstrate how low-cost, low-power, asynchronous sensor nodes can be used to perform CSL (and, simultaneously, distributed synchronization) by means of time-stamped communication without additional ranging hardware. Our method combines a belief propagation message passing algorithm for cooperative simultaneous localization and synchronization (CoSLAS) with a MAC-layer time stamping scheme.We validate the models underlying the CoSLAS algorithm by means of measurements, and we demonstrate that the localization accuracy achieved by our hardware implementation is far better than that corresponding to the time resolution and measurement errors of the hardware.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127189132","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-carrier time-interleaved space-time code for frequency-selective fading channels","authors":"B. Ng, C. Lam","doi":"10.1109/SAM.2014.6882387","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882387","url":null,"abstract":"A novel single-carrier-based space-time code design to exploit the advantages of frequency-selective channel is proposed in this paper. The new design is based on multiplexing independent streams of space-time codes in a time-interleaved fashion followed by symbol-wise phase rotations. The advantage of such design is that it guarantees full space-time-multipath diversity by using the traditional space-time codes originally designed for flat fading channels as the constituent codes. Another advantage is that this approach incurs no loss in bandwidth-efficiency and it alleviates the problem of high PAPR in OFDM-based space-time code. The design is potentially suitable for any number of transmit antennas or multipaths. The simulations results indicate that full space-time-multipath diversity is attained using this new approach, and comparisons with some existing space-time codes designed for frequency-selective channel are made to show its performance advantage.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"2365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127476681","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":"Real-time kernel-based multiple target tracking for robotic beating heart surgery","authors":"G. Kurz, M. Baum, U. Hanebeck","doi":"10.1109/SAM.2014.6882375","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882375","url":null,"abstract":"Performing surgery on the beating heart has significant advantages for the patient compared to traditional heart surgery on the stopped heart. A remote-controlled robot can be used to automatically cancel out the movement of the beating heart. This necessitates precise tracking of the heart surface. For this purpose, we track 24 identical artificial markers placed on the heart. This creates a data association problem, because it is not known which measurement was obtained from which marker. To solve this problem, we apply a multiple target tracking method based on a symmetric kernel transformation. This method allows efficient handling of the data association problem even for a reasonably large number of targets. We demonstrate how to implement this method efficiently. The proposed approach is evaluated on in-vivo data of a real beating heart surgery performed on a porcine beating heart.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126040366","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 insights into second and fourth-order direction finding for NonCircular sources","authors":"A. Ferréol, P. Chevalier","doi":"10.1109/SAM.2014.6882443","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882443","url":null,"abstract":"These last three decades, many second order (SO) and higher order (HO) high resolution (HR) direction finding (DF) methods, such as 2q-MUSIC (q ≥ 1), exploiting the information contained in the SO or HO circular (C) cumulants of the data, have been developed. However, for 2qth-order non-circular (NC) sources such as M-PSK sources with M ≤ 2q, strong gains in performance may be obtained by taking into account the information contained in both 2qth-order C and NC cumulants of the data, giving rise to NC 2qth-order DF methods. Numerous NC DF methods have been developed these last fifteen years but mainly at the SO and under restrictive assumptions on the sources. The purpose of this paper is to give new insights into NC 2q-MUSIC methods for 1 ≤ q ≤ 2 and for arbitrary NC sources.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126834789","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}
Li Li, P. Boufounos, Dehong Liu, H. Mansour, Z. Sahinoglu
{"title":"Sparse MIMO architectures for through-the-wall imaging","authors":"Li Li, P. Boufounos, Dehong Liu, H. Mansour, Z. Sahinoglu","doi":"10.1109/SAM.2014.6882455","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882455","url":null,"abstract":"Compressive sensing and sparse array processing has provided new approaches to improve radar imaging systems. This paper, explores the potential of sparse Multiple-Input-Multiple-Output (MIMO) radar arrays to significantly reduce the cost of through-the-wall imaging (TWI). We analyze three well-known sparse array structures-nested arrays, co-prime arrays and random arrays-and examine their performance in the presence of common types of layered walls. The reconstruction is performed by formulating and solving a wall parameter estimation problem in conjunction with a sparse reconstruction problem that takes the wall parameters into account. Our simulation results demonstrate the effectiveness of our approach and validate the performance of the system for the three different MIMO sparse array structures.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365698","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":"Exploiting array motion for augmentation of co-prime arrays","authors":"Juan Ramirez, J. L. Odom, J. Krolik","doi":"10.1109/SAM.2014.6882458","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882458","url":null,"abstract":"In this paper, we combine concepts from synthetic aperture processing and non-uniform linear array theory. Our objective is to use array motion to synthesize an array that can achieve the performance of a filled uniform linear array (ULA), but with fewer sensors than required for spatial Nyquist sampling. The class of physical arrays we use for synthesis are co-prime arrays constructed by nesting under-sampled ULA's with co-prime inter-element spacings. In particular, we use array motion to fill in missing co-array spacings. For co-prime M and N, a physical array of M + 2N - 1 sensors plus modest array motion is used to achieve a filled co-array corresponding to approximately 2MN elements. This facilitates spatial spectral estimation via non-adaptive beamforming over an extended aperture with low sidelobe performance.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803232","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":"Compressive noise radar for urban sensing","authors":"Mahesh C. Shastry, R. Narayanan, M. Rangaswamy","doi":"10.1109/SAM.2014.6882448","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882448","url":null,"abstract":"Ultra-wideband (UWB) noise-like transmit waveforms are ideally suited for implementing compressive radar range-profile imaging systems. Due to useful properties such as robustness to interference, simplicity of hardware design, and high range resolution, UWB noise radar has been successfully applied to urban-sensing scenarios. Compressive noise radar systems can achieve resolutions comparable to conventional systems at lower sampling rates, thus enabling super-resolution in radar imaging. In this paper, compressive noise radar imaging is experimentally shown to be feasible for urban sensing applications. S-band through-the-wall imaging results demonstrate the feasibility of using compressive noise radar for sensing obscured targets of interest in urban scenarios.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124169802","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":"Cooperative mesh networks with EGC detectors","authors":"P. Djurić, Ángel M. Bravo-Santos","doi":"10.1109/SAM.2014.6882381","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882381","url":null,"abstract":"We address mesh networks with decode and forward relays that use binary modulations. For detection, the nodes employ equal gain combining, which is appealing because it is very easy to implement. We study the performance of these networks and compare it to that of multihop multi-branch networks. We also examine the performance of the networks when both the number of groups and total number of nodes are fixed but the topology of the network varies. We demonstrate the performance of these networks where the channels are modeled with Nakagami distributions and the noise is zero mean Gaussian.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114344695","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":"Fast multilinear Singular Value Decomposition for higher-order Hankel tensors","authors":"Maxime Boizard, R. Boyer, G. Favier, P. Larzabal","doi":"10.1109/SAM.2014.6882436","DOIUrl":"https://doi.org/10.1109/SAM.2014.6882436","url":null,"abstract":"The Higher-Order Singular Value Decomposition (HOSVD) is a possible generalization of the Singular Value Decomposition (SVD) to tensors, which have been successfully applied in various domains. Unfortunately, this decomposition is computationally demanding. Indeed, the HOSVD of a Nth-order tensor involves the computation of the SVD of N matrices. Previous works have shown that it is possible to reduce the complexity of HOSVD for third-order structured tensors. These methods exploit the columns redundancy, which is present in the mode of structured tensors, especially in Hankel tensors. In this paper, we propose to extend these results to fourth order Hankel tensor. We propose two ways to extend Hankel structure to fourth order tensors. For these two types of tensors, a method to build a reordered mode is proposed, which highlights the column redundancy and we derive a fast algorithm to compute their HOSVD. Finally we show the benefit of our algorithms in terms of complexity.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124104356","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}