Program for 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)
Tutorial 1: Tradeoffs in MIMO Radar -- S. Vorobyov (Aalto University, Finland) and M. Lops (University of Cassino, Italy) -- Room Finisterre
Tutorial 2: Cartography for Cognitive Networks -- G. Giannakis (University of Minnesota, USA) -- Room Finisterre
Student Poster Competition -- Room Finisterre
- Localization Based on Signal Structure
- pp. 197-200
- Continuous Sparse Recovery for Direction of Arrival Estimation with Co-prime Arrays
- pp. 393-396
- Efficient Linear Precoding for Massive MIMO Systems using Truncated Polynomial Expansion
- pp. 273-276
- Tensor-based Power Spectra Separation and Emitter Localization for Cognitive Radio
- pp. 421-424
- Near-Field Source Localization: Sparse Recovery Techniques and Grid Matching
- pp. 369-372
- State Estimation with Sampling Offsets in Wide Area Measurement Systems
- pp. 49-52
- A Sparse Regularization Technique for Source Localization with Non-uniform Sensor Gain
- pp. 93-96
- A Sparse Bayesian Learning Algorithm With Dictionary Parameter Estimation
- pp. 385-388
- Direction Finding and Array Calibration Based on Sparse Reconstruction in Partly Calibrated Arrays
- pp. 21-24
- Joint Beamforming and Transmit Design for the Non-Regenerative MIMO Broadcast Relay Channel
- pp. 169-172
- Application of Krylov based methods in Calibration for Radio Astronomy
- pp. 153-156
A Coruña Tour -- Departure from Hotel Finisterre (SAM venue)
The tour will depart from Hotel Finisterre (venue of SAM 2014) and will arrive at the welcome reception site (Aquarium Finisterrae)
Welcome Reception -- Aquarium Finisterrae
Opening Ceremony -- Room Victoria
Plenary 1: Modeling the Aggregator Problem: the Economic Dispatch and Dynamic Scheduling of Flexible Electrical Loads -- Anna Scaglione (University of California Davis, USA) -- Room Victoria
The increasing need for fast-ramping generation capacity and costly reserves to balance the grid under high penetration levels of intermittent resources, have sparked great interest in designing new paradigms that allow electricity demand to respond to economic signals. It is expected that the grid will soon incorporate an access layer to manage the access to power by a set of flexible appliances. Aggregators are the entities that will interact with the wholesale market and manage large populations of flexible demand. The objective is for the Aggregators to utilize an interface that is safe for the grid and economically desirable for the consumers. In this talk we will highlight the design opportunities and challenges in dealing with the modeling problem behind the Aggregator design. Electrical Vehicles will be our case study to illustrate advances in the ex-ante modeling and the on-line scheduling of flexible loads.
P1A: Direction-of-arrival Estimation
- Direction of Arrival Estimation of Harmonic Signal Using Single Moving Sensor
- pp. 1-4
- Optimal Virtual Array Length Under Position Imperfections
- pp. 5-8
- Decentralized Direction Finding Using Lanczos Method
- pp. 9-12
- On MSE Performance of Time-Reversal MUSIC
- pp. 13-16
- Analytical ESPRIT-Based Performance Study: What Can We Gain From Non-Circular Sources?
- pp. 17-20
- Direction Finding and Array Calibration Based on Sparse Reconstruction in Partly Calibrated Arrays
- pp. 21-24
P1B: Localization in Wireless Sensor Networks
- A Moving Horizon Convex Relaxation for Mobile Sensor Network Localization
- pp. 25-28
- Network Design Via Modular Set Function Optimization in Localization Problems
- pp. 29-32
- Cooperative Simultaneous Localization and Synchronization: Toward a Low-Cost Hardware Implementation
- pp. 33-36
- A Weighted KNN Epipolar Geometry-Based Approach for Vision-Based Indoor Localization Using Smartphone Cameras
- pp. 37-40
- Preprocessing Algorithm for Source Localisation in a Multipath Environment
- pp. 41-44
- Improving the Projection Method for TOA Source Localization in the Presence of Sensor Position Errors
- pp. 45-48
P1C: Estimation in Cyber-Physical Energy Systems
- State Estimation with Sampling Offsets in Wide Area Measurement Systems
- pp. 49-52
- Delay Constrained Linear Transmission of Random State Measurements
- pp. 53-56
- Power System Event Classification via Dimensionality Reduction of Synchrophasor Data
- pp. 57-60
- Max-Flow Min-Cut for Power System Security Index Computation
- pp. 61-64
- Energy Grid State Estimation under Random and Structured Bad Data
- pp. 65-68
P1D: Blind Source Separation and Channel Identification
- Robust Interchannel Phase Difference Modeling with Wrapped Regression Splines
- pp. 69-72
- The Correlation Preserving Transform Resolves Phase Ambiguity in Complex Decorrelating Transforms
- pp. 73-76
- Estimation of Inter-Channel Phase Differences using Non-Negative Matrix Factorization
- pp. 77-80
- Nonnegative Compression for Semi-Nonnegative Independent Component Analysis
- pp. 81-84
Lunch Time -- Room Novo
Keynote 1: Signals, data, and information: The research of Prof. Kailath -- Anibal R Figueiras-Vidal (Universidad Carlos III de Madrid, Spain) -- Room Victoria
Plenary 2: Displacement Structure of Matrices: An Introduction -- Thomas Kailath (Stanford University, USA) -- Room Victoria
P2A: Information-Based Signal Processing
- Sparse-signal processing on information-based range grid
- pp. 85-88
- Angular Information Resolution Limit of Sensor Arrays
- pp. 89-92
- A Sparse Regularization Technique for Source Localization with Non-uniform Sensor Gain
- pp. 93-96
- Cooperative Compressive Power Spectrum Estimation
- pp. 97-100
- Nonlinear Parameter Estimation in Statistical Manifolds
- pp. 101-104
P2B: Antenna Array Processing for GNSS Applications
- Space-Time Adaptive Principle Component Analysis for Time-Delay Estimation
- pp. 105-108
- GNSS Structural Interference Mitigation Technique Using Antenna Array Processing
- pp. 109-112
- Accuracy of an OTA System Emulating a Realistic 3D Environment for GNSS and Multi-Satellite Receiver Testing
- pp. 113-116
- Interference and multipath sequential tests for signal integrity in multi-antenna GNSS receivers
- pp. 117-120
- Interference Mitigation in GNSS Receivers by Array Signal Processing: A Software Radio Approach
- pp. 121-124
P2C: Detection and Estimation
- Regularized robust estimation of mean and covariance matrix under heavy tails and outliers
- pp. 125-128
- A Real Time Tracker of Complex Circularity
- pp. 129-132
- Distributed Detection of Correlated Random Processes under Energy and Bandwidth Constraints
- pp. 133-136
- Gaussian Processes Regressors for Complex Proper Signals in Digital Communications
- pp. 137-140
- A search-and-revisit procedure for early target detection with agile-beam radars
- pp. 141-144
- Scalar Estimation From Unreliable Binary Observations
- pp. 145-148
- Energy Detection for Decision Fusion in Wireless Sensor Networks over Ricean-Mixture Fading
- pp. 149-152
- Application of Krylov based methods in Calibration for Radio Astronomy
- pp. 153-156
- Experimental Assessment of Eigenvalue-based Detection for Cognitive Radio
- pp. 157-160
P2D: Multi-user communication
- Robust Beamforming For Two-User MISO Broadcasting Channel with Delayed CSIT
- pp. 161-164
- Power Minimization in the Multiple Stream MIMO Broadcast Channel with Imperfect CSI
- pp. 165-168
- Joint Beamforming and Transmit Design for the Non-Regenerative MIMO Broadcast Relay Channel
- pp. 169-172
- Analog Joint Source-Channel Coding for MIMO Multiple Access Channels
- pp. 173-176
- SINR Optimization in Wideband Full-Duplex MIMO Relays under Limited Dynamic Range
- pp. 177-180
P3A: Applications of Array Processing
- FPGA-based Real-Time Acoustic Camera using PDM MEMS Microphones with a Custom Demodulation Filter
- pp. 181-184
- Ultrasonic Array Imaging for Immersion Non-Destructive Testing
- pp. 185-188
- Localization and Array Shape Estimation Using Software Defined Radio Array Test Bed
- pp. 189-192
- Accumulated Rainfall Estimation Using Maximum Attenuation of Microwave Radio Signal
- pp. 193-196
- Localization Based on Signal Structure
- pp. 197-200
P3B: Data-Driven Distributed Estimation and Tracking
- Real-time Kernel-based Multiple Target Tracking for Robotic Beating Heart Surgery
- pp. 201-204
- Joint Sensors-Sources Association and Tracking
- pp. 205-208
- MMOSPA-based Direction-of-Arrival Estimation for Planar Antenna Arrays
- pp. 209-212
- Scalar-gain Distributed Estimators for Hermitian Systems
- pp. 213-216
- Distributed Ensemble Kalman Filtering
- pp. 217-220
- Tracking Simplified Shapes Using a Stochastic Boundary
- pp. 221-224
P3C: Sensor Networks
- Cooperative mesh networks with EGC detectors
- pp. 225-228
- Envelope Only TDOA Estimation for Sensor Network Self Calibration
- pp. 229-232
- Strategies for principal component analysis in wireless sensor networks
- pp. 233-236
- Ridge regression and Kalman filtering for target tracking in wireless sensor networks
- pp. 237-240
- On the uniform asymptotic convergence of a distributed particle filter
- pp. 241-244
- Detection in Analog Sensor Networks with a Large Scale Antenna Fusion Center
- pp. 245-248
P3D: Wireless Communications
- Single-carrier time-interleaved space-time code for frequency-selective fading channels
- pp. 249-252
- Bandwidth Expansion Analog Joint Source-Channel Coding with Channel Inversion and Multiple Receive Antennas
- pp. 253-256
- Achieving Positive Rate With Undetectable Communication Over MIMO Rayleigh Channels
- pp. 257-260
- Enhancing Physical Layer Security in Untrusted Relay Networks With Artificial Noise: A Symbol Error Rate Based Approach
- pp. 261-264
- Massive MIMO meets Decision Fusion: Decode-and-Fuse vs. Decode-then-Fuse
- pp. 265-268
- Antenna competition to boost Active Interference Cancellation in cognitive MIMO-OFDM
- pp. 269-272
Plenary 3: Label-Free Estimation and Tracking -- Peter Willett (University of Connecticut, USA) -- Room Victoria
Multi-object estimation poses three questions: How many objects are in the scene? Where are there objects? And: Which object is which? Let's ignore - at least for now - the first, which is admittedly very important but here is not germane. To estimate the location of (say) two objects from prior information and measurements is, for those of you who like to think in these terms, an optimization. The familiar metric is mean square error, and to minimize it answers both the second and third questions. But suppose that we are interested only in the second question. We can recognize this a relaxation of a constraint in our optimization; can the best metric improve? In this talk it is shown that it can, and the result is (unfortunately) called MMOSPA. We find a rich area of label-free estimation, both static and dynamic. Versions of the trackers are shown to beat coalescence problems for closely spaced targets. And for those of you who like labels, it is shown that labeling can be re-inserted to the estimates, but in a way that is perhaps more honest than for labeled ones, as a posterior label probability.
P4A: Massive MIMO
- Efficient Linear Precoding for Massive MIMO Systems using Truncated Polynomial Expansion
- pp. 273-276
- Subspace Precoding with Limited Feedback for the Massive MIMO Interference Channel
- pp. 277-280
- Antenna Array Configurations for Massive MIMO Outdoor Base Stations
- pp. 281-284
- DCT and VQ based Limited Feedback in Spatially-Correlated Massive MIMO Systems
- pp. 285-288
- Massive MIMO for Interference Management in Heterogeneous Networks
- pp. 289-292
- On the Amount of Training in Coordinated Massive MIMO Systems
- pp. 293-296
P4B: Space-time Adaptive Processing
- Wideband Waveform Design for Clutter Suppression
- pp. 297-300
- CFAR property and robustness of the Low Rank Adaptive Normalized Matched Filters detectors in low rank Compound Gaussian context
- pp. 301-304
- A Three-Dimensional Displaced Phase Center Antenna Condition for Clutter Cancellation
- pp. 305-308
- Conditional variance LMMSE estimator for a GARCH process clutter model
- pp. 309-312
- Mismatch Loss Constrained Instrumental Variable Filtering for GSM Passive Bistatic Radar
- pp. 313-316
P4C: Experimental Evaluation in Wireless Communications
- Correlated UE Impairments in ZF MU-MIMO Transmissions
- pp. 317-320
- Experimental Testbed for 5G Cognitive Radio Access in 4G LTE Cellular Systems
- pp. 321-324
- Experimental Analysis of Network-Aided Interference-Aware Receiver for LTE MU-MIMO
- pp. 325-328
- Measurement-Based Characterization of Residual Self-Interference on a Full-Duplex MIMO Testbed
- pp. 329-332
- How to Implement Doubly-Stochastic Matrices for Consensus-Based Distributed Algorithms
- pp. 333-336
- Energy Profiling of FPGA-based PHY-layer Building Blocks Encountered in Modern Wireless Communication Systems
- pp. 337-340
- Experimental Validation of ICI-Aware OFDM Receivers under Time-Varying Conditions
- pp. 341-344
- Quantization-based Complexity Reduction for Range-dependent Modified Gilbert Model
- pp. 345-348
- Experimental Evaluation of a Cooperative Kernel-Based Approach for Robust Spectrum Sensing
- pp. 349-352
- Measuring the Impact of Outdated Channel State Information in Interference Alignment Techniques
- pp. 353-356
- Measuring the performance of a distributed interference management scheme in a LTE-based HetNet deployment
- pp. 357-360
- Measurement and Modelling of Interference Alignment Impairments
- pp. 361-364
Lunch Time -- Room Novo
Keynote 2: Opportunities for International Research Support through the US Office of Naval Research-Global (ONRG) -- Leonard Ferrari (ONRG) -- Room Victoria
Plenary 4: Towards 5G -- Angel Lozano (Universitat Pompeu Fabra, Spain) -- Room Victoria
With the 4th generation of wireless systems still being rolled out, challenges keep mounting: traffic demand doubles yearly and user needs and expectations keep growing at a very fast pace. Against this backdrop, the debate is open as to what shall come next in the evolution of wireless systems—what is loosely referred to as the 5th generation—and this debate stage can be a very fertile time for ideas to take root. This talk intends to contribute to the ongoing discussion, not from the perspective of a manufacturer, operator, or user, but from the perspective of a researcher. With that goal in mind, the presentation is organized around five reflections touching on aspects that relate to 5G but that also have broader conceptual implications in research.
Santiago de Compostela Tour -- Departure from Hotel Finisterre (SAM venue)
The Santiago de Compostela Tour will depart from the conference venue (Hotel Finisterre) and will arrive at the venue of the Gala Dinner (Pazo de Vilaboa)
Gala Dinner -- Pazo de Vilaboa
The Santiago de Compostela tour will finish in the venue of the Gala Dinner. There will be also buses from the conference venue (Hotel Finisterre) to the venue of the Gala Dinner.
Plenary 5: Distributed Optimization over Network -- Wotao Yin (University of California Los Angeles, USA) -- Room Victoria
There has been considerable recent interest in solving optimization problems with data stored over a network. For these problems we need techniques that process data locally yet converge rapidly to an (approximate) solution across the entire network. This talk reviews primarily first-order algorithms for large-scale optimization of the distributed or decentralized types. We emphasize on recognizing separable structures in a large set of signal processing and statistical learning problems and demonstrate that, through skillful uses of gradient, proximal, duality, and splitting techniques, massively parallel algorithms can be developed. Numerical results are presented to demonstrate the scalability of the parallel codes on typical unix clusters and Amazon EC2.
P5A: Sparsity in Array Processing: Methods and Performance
- Performance Analysis for Sparse Based Biased Estimator: Application to Line Spectra Analysis
- pp. 365-368
- Near-Field Source Localization: Sparse Recovery Techniques and Grid Matching
- pp. 369-372
- DOA Estimation in Partially Correlated Noise Using Low-Rank/Sparse Matrix Decomposition
- pp. 373-376
- Directions of Arrival Estimation by Learning Sparse Dictionaries for Sparse Spatial Spectra
- pp. 377-380
- Basis Pursuit over Continuum Applied to Range-Doppler Estimation Problem
- pp. 381-384
- A Sparse Bayesian Learning Algorithm With Dictionary Parameter Estimation
- pp. 385-388
- Distributed image reconstruction for very large arrays in radio astronomy
- pp. 389-392
- Continuous Sparse Recovery for Direction of Arrival Estimation with Co-prime Arrays
- pp. 393-396
P5B: Compressed Sensing and Sparsity-Based Signal Processing
- Sampling Size in Monte Carlo Bayesian Compressive Sensing
- pp. 397-400
- Signature-Assisted Rendezvous in OFDM-Based Cognitive Networks Using sub-Nyquist Samples
- pp. 401-404
- An Improved RIP-Based Performance Guarantee for Sparse Signal Reconstruction via Subspace Pursuit
- pp. 405-408
- Sparse Delay-Doppler Image Reconstruction under Off-Grid Problem
- pp. 409-412
- Direction of Arrival Estimation of Wideband Signals using sub-Nyquist Samples
- pp. 413-416
P5C: Tensor-Based Signal Processing
- Truncated Nuclear Norm Minimization for Tensor Completion
- pp. 417-420
- Tensor-based Power Spectra Separation and Emitter Localization for Cognitive Radio
- pp. 421-424
- Deterministic Blind Identification in Antenna Array Processing
- pp. 425-428
- Direction of Arrival Estimation Using Nested Vector-Sensor Arrays Via Tensor Modeling
- pp. 429-432
- Imputation of Streaming Low-Rank Tensor Data
- pp. 433-436
- Fast multilinear Singular Value Decomposition for higher-order Hankel tensors
- pp. 437-440
- Multidimensional ESPRIT: A Coupled Canonical Polyadic Decomposition Approach
- pp. 441-444
- Tensor-Based Approach to Channel Estimation in Amplify-and-Forward MIMO Relaying Systems
- pp. 445-448
- CP decomposition of semi-nonnegative semi-symmetric tensors based on QR matrix factorization
- pp. 449-452
- Symmetric Tensor Decomposition of Narrowband Single Channel Signals
- pp. 453-456
Lunch Time -- Room Novo
Plenary 6: Array Processing Underground -- James H. McClellan (Georgia Tech, USA) -- Room Victoria
This talk will describe aspects of sensor array processing that have been successful in areas such as geophysics and ground penetrating radar. Some examples are land mine detection, sonic well-logging and micro-seismic monitoring. These applications employ wideband sensors and benefit from array processing when a complete frequency-wavenumber domain analysis of the space-time wavefield is performed. Furthermore, new systems increasingly use three-axis sensors where vector signals are processed to extract parameters such as polarization. On the signal processing side, theoretical advances have kept pace with the ever-expanding data sets produced by new sensors. In particular, new sparsity-aware methods provide powerful algorithms for locating isolated targets as well as extracting other attributes such as orientation.
P6A: Dealing with Non-Standard Conditions in Array Processing and Spectral Analysis
- Naive, Robust or Fully-Adaptive: An Estimation Problem for CES Distributions
- pp. 457-460
- CRLB under K-distributed observation with parameterized mean
- pp. 461-464
- New Insights into Second and Fourth-Order Direction Finding for NonCircular Sources
- pp. 465-468
- Asymptotic analysis of Beamspace-MUSIC in the context of large arrays
- pp. 469-472
- Robust parametric detection in non homogeneous clutter
- pp. 473-476
- Performance Analysis of Time frequency Subspace based Direction Finding algorithms in presence of perturbed array manifold
- pp. 477-480
P6B: Compressive Sensing for Urban Radar
- CS Based Specular Multipath Exploitation in TWRI under Wall Position Uncertainties
- pp. 481-484
- Compressive Noise Radar for Urban Sensing
- pp. 485-488
- Multi-Stage Compressed Sensing and Wall Clutter Mitigation for Through-the-Wall Radar Image Formation
- pp. 489-492
- Time Domain CS Kernel Design for Mitigation of Wall Reflections in Urban Radar
- pp. 493-496
- RIP Analysis of the Measurement Matrix for Compressive Sensing-Based MIMO Radars
- pp. 497-500
P6C: MIMO Radar
- Statistical Angular Resolution Limit for Array Radar with Ultrawideband Stochastic Signals
- pp. 501-504
- Robust DOA Estimation in MIMO Radar with Transmitting Uncertainties
- pp. 505-508
- Target Localization Sensitivity Using MIMO Radar in the Presence of Antenna Position Uncertainties
- pp. 509-512
- Sparse MIMO Architectures For Through-The-Wall Imaging
- pp. 513-516
P6D: Co-Prime Sampling and Arrays
- Soft-Thresholding for Spectrum Sensing with Coprime Samplers
- pp. 517-520
- Distributed Source Processing with Linear Nested Arrays
- pp. 521-524
- Exploiting Array Motion for Augmentation of Co-prime Arrays
- pp. 525-528
- Generalized coprime array configurations
- pp. 529-532
- Coprime Conditions for Fourier Sampling for Sparse Recovery
- pp. 533-536