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IEEE Journal of Selected Topics in Signal Processing

Issue 2 • March 2015

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Displaying Results 1 - 24 of 24
  • Front Cover

    Publication Year: 2015, Page(s): C1
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  • IEEE Journal of Selected Topics in Signal Processing publication information

    Publication Year: 2015, Page(s): C2
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  • [Blank page]

    Publication Year: 2015, Page(s): 198
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  • Table of contents

    Publication Year: 2015, Page(s):199 - 200
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  • Introduction to the Issue on Signal Processing for Situational Awareness From Networked Sensors and Social Media

    Publication Year: 2015, Page(s):201 - 203
    Cited by:  Papers (1)
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  • Signal Design for Context Aware Distributed Radar Sensing Networks Based on Wavelets

    Publication Year: 2015, Page(s):204 - 215
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2111 KB) | HTML iconHTML

    In the field of radar sensing, a paradigm shift is taking place from the traditional radar system to distributed sensing/radar networks. Comparing with the single radar system distributed radar networks have a superior performance in detection and estimation of parameters of target. They also enhance the imaging and classification performance of sensing systems. As in distributed radar networks se... View full abstract»

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  • A Mathematical Model for Wideband Ranging

    Publication Year: 2015, Page(s):216 - 228
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2826 KB)

    Wideband ranging is essential for numerous emerging applications that rely on accurate location awareness. The quality of range information, which depends on network intrinsic properties and signal processing techniques, affects the localization accuracy. A popular class of ranging techniques is based on energy detection owing to its low-complexity implementation. This paper establishes a tractabl... View full abstract»

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  • Self-Localization Over RFID Tag Grid Excess Channels Using Extended Filtering Techniques

    Publication Year: 2015, Page(s):229 - 238
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1917 KB) | HTML iconHTML

    Accuracy of target self-localization in RFID tag information networks and grids critically affects its situation awareness. With an insufficient localization accuracy, information about local 2D or 3D surroundings delivered to a target by request may provoke collisions, even fatal. In RFID networking systems, target state can be observed over a big number of tags. For such a case, the extended Kal... View full abstract»

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  • Accurate and Simple Wireless Localizations Based on Time Product of Arrival in the DDM-NLOS Propagation Environment

    Publication Year: 2015, Page(s):239 - 246
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1246 KB) | HTML iconHTML

    Wireless localization has become an important issue in internet of things. However, its performance degrades significantly when there are only non-line-of-sight (NLOS) propagation paths instead of line-of-sight (LOS) propagation paths. Therefore, this paper proposes a novel localization algorithm to improve the localization accuracy, where we assume that the NLOS error satisfies the requirement of... View full abstract»

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  • Greedy Motion Planning for Simultaneous Signal Landscape Mapping and Receiver Localization

    Publication Year: 2015, Page(s):247 - 258
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2853 KB) | HTML iconHTML

    Greedy motion planning strategies to enhance situational awareness in an opportunistic navigation (OpNav) environment are considered. An OpNav environment can be thought of as a radio frequency signal landscape within which a receiver locates itself in time and space by extracting information from ambient signals of opportunity (SOPs). The receiver is assumed to draw only pseudorange observations ... View full abstract»

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  • Robust Maximum Likelihood Acoustic Energy Based Source Localization in Correlated Noisy Sensing Environments

    Publication Year: 2015, Page(s):259 - 267
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1807 KB) | HTML iconHTML

    Acoustic energy based localization with wireless sensor networks is an interesting solution to locate sources and targets. For simplicity, localization formulation based on the maximum likelihood (ML) approach considers that the source and noise samples are uncorrelated and represented by a Gaussian distribution. However, the acoustic background noise can severely affect the accuracy of the locati... View full abstract»

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  • Spring Model Based Collaborative Indoor Position Estimation With Neighbor Mobile Devices

    Publication Year: 2015, Page(s):268 - 277
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1251 KB) | HTML iconHTML

    Nowadays, as the widespread of smart-phones that equipped with Wi-Fi modules, many researchers have studied Wi-Fi based indoor positioning techniques. The existing method makes use of the Wi-Fi received signal strength (RSS) information that collected from several places indoors in advance to estimate the position of a mobile device by referring to a fingerprinting algorithm. Based on the existing... View full abstract»

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  • Consensus Based Estimation Over Relay Assisted Sensor Networks for Situation Monitoring

    Publication Year: 2015, Page(s):278 - 291
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3787 KB) | HTML iconHTML

    This paper focuses on exploiting the sensor fusion capability for situation monitoring applications over a kind of relay assisted sensor networks consisting of multiple kinds of sensor nodes (SNs) and relay nodes (RNs). SNs implement assimilation of new measurement and cooperation with other nodes. Moreover, SNs have different sensing modalities, which can only measure a part of target parameter v... View full abstract»

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  • Energy Efficient Consensus Over Complex Networks

    Publication Year: 2015, Page(s):292 - 303
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2427 KB) | HTML iconHTML

    The need to extract large amounts of information from the environment to have precise situation awareness and then react appropriately to certain events has led to the emergence of complex and heterogeneous sensor networks. In this context, where the sensor nodes are usually powered by batteries, the design of new methods to make inference processes efficient in terms of energy consumption is nece... View full abstract»

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  • Situational Awareness for Dynamical Network Processes Using Incidental Measurements

    Publication Year: 2015, Page(s):304 - 316
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1447 KB) | HTML iconHTML

    Increasingly, incidental sensing capabilities are being leveraged for wide-area situational awareness of complex network processes. For instance, sensors embedded on miners' body suits are envisioned for sensing for chemical hazards, blog data is being used to track disease spread, and autonomous vehicle platforms can incidentally measure environmental conditions while engaging in mission tasks. T... View full abstract»

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  • Understanding Dynamic Social Grouping Behaviors of Pedestrians

    Publication Year: 2015, Page(s):317 - 329
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2062 KB) | HTML iconHTML

    There have been many studies in the literature on social group recognition of crowds of pedestrians. However, most of these studies have approached the problem from a static point of view. A study on the dynamic property of social groups among people over time can provide significant insight into human behaviors and events. Inspired by sociological models of human collective behavior, in this work... View full abstract»

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  • Forecasting Popularity of Videos Using Social Media

    Publication Year: 2015, Page(s):330 - 343
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2333 KB) | HTML iconHTML

    This paper presents a systematic online prediction method (Social-Forecast) that is capable to accurately forecast the popularity of videos promoted by social media. Social-Forecast explicitly considers the dynamically changing and evolving propagation patterns of videos in social media when making popularity forecasts, thereby being situation and context aware. Social-Forecast aims to maximize th... View full abstract»

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  • Whose Opinion to Follow in Multihypothesis Social Learning? A Large Deviations Perspective

    Publication Year: 2015, Page(s):344 - 359
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3619 KB) | HTML iconHTML

    We consider a multihypothesis social learning problem in which an agent has access to a set of private observations and chooses an opinion from a set of experts to incorporate into its final decision. To model individual biases, we allow the agent and experts to have general loss functions and possibly different decision spaces. We characterize the loss exponents of both the agent and experts, and... View full abstract»

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  • Using Social Sensors for Influence Propagation in Networks With Positive and Negative Relationships

    Publication Year: 2015, Page(s):360 - 373
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2769 KB) | HTML iconHTML

    Online social communities often exhibit complex relationship structures, ranging from close friends to political rivals. As a result, persons are influenced by their friends and foes differently. Future network applications can benefit from integrating these structural differences in propagation schemes through socially aware sensors. In this paper, we introduce a propagation model for such social... View full abstract»

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  • IEEE Journal of Selected Topics in Signal Processing information for authors

    Publication Year: 2015, Page(s):374 - 375
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  • Special issue on Stochastic Simulation and Optimisation in Signal Processing

    Publication Year: 2015, Page(s): 376
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  • Special Issue on Signal Processing for Millimeter Wave Wireless Communications

    Publication Year: 2015, Page(s): 377
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  • IEEE Signal Processing Society Information

    Publication Year: 2015, Page(s): C3
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  • [Blank page]

    Publication Year: 2015, Page(s): C4
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Aims & Scope

The Journal of Selected Topics in Signal Processing (J-STSP) solicits special issues on topics that cover the entire scope of the IEEE Signal Processing Society including the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief

Shrikanth (Shri) S. Narayanan
Viterbi School of Engineering 
University of Southern California
Los Angeles, CA 90089 USA
shri@sipi.usc.edu