NDLI: Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks

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IEEE Transactions on Wireless Communications - Front cover

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Linear precoding of STBC over correlated ricean MIMO channels

New receivers for generalized UWB transmitted reference systems with improved performances

Geometry-based optimal power control of fading multiple access channels for maximum sum-rate in cognitive radio networks

Spectrum sensing with active cognitive systems

Analysis of OFDM error rates over nonlinear fading radio channels

Random access for elastic and inelastic traffic in WLANs

Credit pre-reservation mechanism for UMTS prepaid service

Clustering and cluster-based routing protocol for delay-tolerant mobile networks

Efficient techniques for monitoring missing RFID tags

On the diversity order of non-orthogonal amplify-and-forward over block-fading channels

Capacity with Explicit Delay Guarantees for Generic Sources over Correlated Rayleigh Channel

Low complexity cross-layer design with packet dependent scheduling for heterogeneous traffic in multiuser OFDM systems

Lifetime-resource tradeoff for multicast traffic in wireless sensor networks

Maximum-likelihood noncoherent OSTBC detection with polynomial complexity

Throughput analysis of interference-limited MIMO-based cellular systems

Distributed power allocation in multi-user multi-channel cellular relay networks

On the Throughput, Delay, and Energy Efficiency of Distributed Source Coding in Random Access Sensor Networks

Blind Frequency-Dependent I/Q Imbalance Compensation for Direct-Conversion Receivers

Modeling the Ultra-Wideband Outdoor Channel: Model Specification and Validation

Adaptive Modulation in PU²RC Systems with

Coded DS-CDMA systems with iterative channel estimation and no pilot symbols

Channel estimation and training design for two-way relay networks with power allocation

Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks

Distributed consensus-based demodulation: algorithms and error analysis

Bandwidth exchange: an energy conserving incentive mechanism for cooperation

Optimal power allocation for OFDM-based cognitive radio with new primary transmission protection criteria

Turbo equalization for doubly-selective fading channels using nonlinear kalman filtering and basis expansion models

Cooperative wireless multicast: performance analysis and power/location optimization

Random access transport capacity

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Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Kun Yan Hsiao-Chun Wu Iyengar, S.S.
Copyright Year	2002
Abstract	Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently in wireless communication applications, such as cellular handset localization, global positioning systems (GPS), and land navigation technologies, etc. The maximum-likelihood is the predominant objective which leads to a variety of source localization approaches. However, the appropriate optimization (search) algorithms are still being pursuit by researchers since different aspects about the effectiveness of such algorithms have to be addressed on different circumstances. In this paper, we focus on the two popular source localization methods for wideband acoustic signals, namely the alternating projection (AP) algorithm and the expectation maximization (EM) algorithm. We explore the respective limitations of these two methods and design a new hybrid approach thereupon. Through Monte Carlo simulations, we demonstrate that the trade-off can be achieved between the computational complexity and the localization accuracy using our newly proposed scheme. Moreover, we present the new robustness analysis for the source localization algorithms. We derive the Cramer-Rao lower bound (CRLB) involving the source spectral estimation error and thus prove that the new hybrid algorithm is more efficient than the EM algorithm. By employing the Gaussianity test, we also quantify the statistical mismatch between the actual statistics of the sensor signals and the underlying Gaussian model. We show that the Gaussianity measure can be a reliable robustness figure for source localization.
File Size	438973
File Format	PDF
ISSN	15361276
Volume Number	9
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Algorithm design and analysis Wideband Acoustic sensors Pursuit algorithms Gaussian processes Wireless communication Cellular networks Telephone sets Global Positioning System Source localization, alternating projection, expectation maximization, acoustic sensors, Gaussianity test, CRLB
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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