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检索条件"任意字段=4th IEEE Sensor Array and Multichannel Signal Processing Workshop"

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Limited field-of-view multimodal sensor adaptation for data association

Limited field-of-view multimodal sensor adaptation for data ...

引用

sensor array and multichannel signal processing workshop

作者： Sean M. O'Rourke A. Lee Swindlehurst Center for Pervasive Communications and Computing University of California Irvine Irvine CA USA

We have investigated the utility of field-of-view adaptation for multimodal sensing in cluttered multi-target environments. Measurement data from multiple integrated sensors are collected at a fusion center, which employs a soft association procedure to integrate them into the estimation procedure. A variance penalty model for the limited fields-of-view property is incorporated into the state estimation procedure. this model also forms the basis of an optimization problem that determines the best next-step sensing parameters for the changing target environment. Numerical simulations demonstrate the benefit of the proposed method for both tracking and association metrics compared to a non-adaptive tracker.

关键词： sensors Target tracking Clutter Radio frequency Noise measurement Noise Vectors

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SINR optimization in wideband full-duplex MIMO relays under limited dynamic range

SINR optimization in wideband full-duplex MIMO relays under ...

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sensor array and multichannel signal processing workshop

作者： Emilio Antonio-Rodríguez Roberto López-Valcarce Taneli Riihonen Stefan Werner Risto Wichman Department of Signal Theory and Communications University of Vigo Vigo Spain Department of Signal Processing and Acoustics Aalto University Helsinki Finland

We develop a method for self-interference mitigation in wideband full-duplex multiple-input multiple-output regenerative relays, taking into account transmitter impairments and limited receiver dynamic range. the method combines a cancellation and suppression architecture by incorporating feedforward filters at both sides of the relay. the design criterion is to maximize the signal-to-interference-plus-noise ratio (SINR) at the relay input. On the transmit side, linear constraints are imposed in order to control the effect on the information signal at destination. Simulation results show the effectiveness of the proposed method both in terms of self-interference reduction and SINR improvement.

关键词： Relays Interference signal to noise ratio Dynamic range MIMO Receivers

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Envelope only TDOA estimation for sensor network self calibration

Envelope only TDOA estimation for sensor network self calibr...

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sensor array and multichannel signal processing workshop

作者： Dan Ohev Zion Hagit Messer School of Electrical Engineering Tel Aviv University

Self localization of nodes in wireless sensor networks (WSN) attracts wide interest in the past few years. the main challenge is to adopt calibration algorithms to the low-power/ low-bandwidth/ low-cost constrains on each sensor in the network. In this paper we present a novel approach, in which position-known anchors transmit special calibration signals simultaneously. Each node measures only the received signal strength (RSSI), i.e. envelope of the sum of received signals, and estimates time difference of arrivals (TDOA) of the signals. Two or more TDOA measurements allow the node to estimate its own position in the WSN. Based on an analysis of the appropriate Cramer Rao Lower Bound (CRLB) on the TDOA estimates, we suggest the choice of calibrating signals which provide optimal performance. the theoretical results are supported by simulations of the Maximum Likelihood (ML) estimators and numerical evaluation of the CRLB for a specific scenario of interest.

关键词： Conferences Wireless sensor networks Position measurement

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Amplify-and-forward compressed sensing as a PHY-layer secrecy solution in wireless sensor networks

Amplify-and-forward compressed sensing as a PHY-layer secrec...

引用

sensor array and multichannel signal processing workshop

作者： J.E. Barceló-Lladó Antoni Morell Gonzalo Seco-Granados Dpt. Telecom. and Syst. Engineering Universitat Autònoma Barcelona Bellaterra Barcelona Spain

Results in distributed compressed sensing show that this technique can be applied to wireless sensor networks in order to reduce the power consumption and the amount of channel uses. In this paper we extend such results with the study of the physical layer secrecy performance. In particular, we focus on an amplify-and-forward compressed sensing scheme (AF-CS) for the case when malicious eavesdropping nodes are listening. We demonstrate that this scheme achieves perfect secrecy in presence of one eavesdropper (and also for a small number of them). We also show that a very high number of eavesdropping nodes are required to perfectly recover the signal in comparison to other distributed compressed sensing schemes in the literature.

关键词： Wireless sensor networks sensors Compressed sensing Physical layer Channel estimation Relays Vectors

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CS based specular multipath exploitation in TWRI under wall position uncertainties

CS based specular multipath exploitation in TWRI under wall ...

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sensor array and multichannel signal processing workshop

作者： Michael Leigsnering Fauzia Ahmad Moeness G. Amin Abdelhak M. Zoubir Signal Processing Group Technische Universitat Darmstadt Darmstadt Germany Center for Advanced Communications Villanova University Villanova PA USA

through-the-wall radar imaging utilizes electromagnetic wave propagation to reveal the locations of obscured targets. Indirect signal propagation paths, usually considered a nuisance, may be used to improve the quality of through-the-wall radar images. However, imperfect knowledge of the surrounding scatterers, i.e. the interior walls of a building, has adverse effects on such multipath exploitation schemes. We propose a joint scene reconstruction and wall position estimation approach based on compressive sensing. this enables effective and reliable utilization of indirect propagation paths resulting in clutter-free images of stationary indoor scenes. Simulation results demonstrate the effectiveness of the proposed method.

关键词： Image reconstruction Radar imaging arrays Vectors signal processing Transmitters

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Optimal virtual array length under position imperfections

Optimal virtual array length under position imperfections

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sensor array and multichannel signal processing workshop

作者： Anders Mannesson Bo Bernhardsson Muhammad Atif Yaqoob Fredrik Tufvesson Dept. of Automatic Control Lund University SWEDEN Dept. of Electrical and Information Technology Lund University SWEDEN

this article contains a study of how spatial errors and receiver imperfections affect the angle of arrival estimation accuracy for virtual antenna arrays. A virtual antenna array consists of one receiver element whose location is tracked as the element is moved and in this work, linear arrays are studied. If the location of the receiver is tracked using an inertial measurement unit, an interesting trade-off emerges. the array should extend as far as possible but since the position estimates from the unaided inertial measurement unit become increasingly uncertain over time, the angle of arrival estimation will deteriorate. Several algorithms are available for estimating the angle of arrival in such a scenario but the one used for evaluation here is a sparse enforcing least squares method.

关键词： arrays signal to noise ratio Estimation Receiving antennas Frequency estimation

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Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems

Joint User Selection and Hybrid Analog-Digital Beamforming i...

引用

sensor array and multichannel signal processing workshop

作者： Ganapati Hegde Marius Pesavento Communication Systems Group Technische Universität Darmstadt Germany

In this paper, we consider a multi-user massive MIMO network with hybrid beamforming architecture at the base station. the objective is to jointly perform user selection and design analog-digital hybrid beamformers in order to maximize a given utility function while satisfying various pertinent constraints. the problem is combinatorial and impractical to solve optimally for a large system. In order to overcome the problem we develop a low-complexity heuristic algorithm. We propose a novel metric to judiciously select a predefined number of appropriate users and to pick congruent analog beamformers from a given dictionary based on the sparse regression techniques. Complementary digital beamformers are then designed for the selected users and fixed analog beamformers. through simulations we analyze the performance of the proposed technique and compare it with the performance of standard techniques.

关键词： array signal processing Dictionaries Radio frequency Linear programming MIMO communication signal to noise ratio Interference

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Linear-Time Joint Probabilistic Data Association for Multiple Extended Object Tracking

Linear-Time Joint Probabilistic Data Association for Multipl...

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sensor array and multichannel signal processing workshop

作者： Shishan Yang Kolja thormann Marcus Baum Chair for Sensor Technology University of Passau Germany

the Joint Probabilistic Data Association (JPDA) filter for multiple object tracking is based on the assumption that at most one measurement originates from a target object. However, with the development of high-resolution sensors, it is often the case that multiple spatially distributed detections are obtained from a single object. To tackle this emerging data association challenge, this paper presents a JPDA method based on the Poisson spatial measurement model for extended objects. As the constraint that one target gets at most one measurement is relaxed, the marginal association probabilities can be obtained with linear complexity in the number of measurements and targets. the proposed method is compared to a partition-based multiple extended object tracking algorithm.

关键词： Shape Object tracking Clutter Target tracking Probabilistic logic Shape measurement Time measurement

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Tracking simplified shapes using a stochastic boundary

Tracking simplified shapes using a stochastic boundary

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sensor array and multichannel signal processing workshop

作者： Antonio Zea Florian Faion Marcus Baum Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Karlsruhe Institute of Technology (KIT) Germany University of Connecticut USA

When tracking extended objects, it is often the case that the shape of the target cannot be fully observed due to issues of visibility, artifacts, or high noise, which can change with time. In these situations, it is a common approach to model targets as simpler shapes instead, such as ellipsoids or cylinders. However, these simplifications cause information loss from the original shape, which could be used to improve the estimation results. In this paper, we propose a way to recover information from these lost details in the form of a stochastic boundary, whose parameters can be dynamically estimated from received measurements. the benefits of this approach are evaluated by tracking an object using noisy, real-life RGBD data.

关键词： Robot sensing systems Shape Noise measurement Fitting Q measurement

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signal processing for random access: a case for cross-layer design

Signal processing for random access: a case for cross-layer ...

引用

ieee workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： L. Tong School of ECE Cornell University Ithaca NY USA

Summary form only given. the role of signal processing has traditionally been assumed away beyond the physical layer. the idea of transmitting one user at a time forms the basis of most MAC protocols. In this talk, we argue that a cross-layer design that takes into account signal processing capabilities at the physical layer will result in substantial gains in network throughput and stability margin. We consider the applications in the reach-back problem for a large scale sensor network and the use of an antenna array in wireless LAN.

关键词： signal processing Cross layer design sensor arrays Physical layer Media Access Protocol Access protocols array signal processing throughput Stability Large-scale systems

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