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Robust signal detection by using the EEF

Robust signal detection by using the EEF

引用

sensor array and multichannel signal processing workshop

作者： Steven Kay Quan Ding Muralidhar Rangaswamy Department of Electrical Computer and Biomedical Engineering University of Rhode Island USA Air Force Research Laboratory USA

In detection theory, the optimal Neyman-Pearson rule applies when the characteristics of the signal and the noise are completely known. However, in many practical scenarios such as multipath or moving targets, only partial knowledge of the signal can be obtained. In this paper, we examine the case when the alternative hypothesis has multiple candidate models, and apply the multimodal sensor integration technique based on the exponentially embedded family to detection. It is shown that our method is asymptotically optimal as it converges to the true underlying model. Furthermore, this method is computationally efficient. We also compare the proposed method with existing classifier combining rules by simulations.

关键词： Detectors Robustness Probability density function signal processing Multimodal sensors Vectors Computational modeling

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Adaptive pulse design for space-time adaptive processing

Adaptive pulse design for space-time adaptive processing

引用

sensor array and multichannel signal processing workshop

作者： Lee K. Patton Daniel E. Hack Braham Himed Matrix Research Dayton Ohio WPAFB Air Force Research Laboratory Ohio

Space-time adaptive processing (STAP) is used in radar to adaptively suppress both ground clutter returns and radio frequency interference (RFI). However, RFI suppression utilizes degrees-of-freedom that would otherwise be applied to clutter suppression. This paper considers designing the transmit pulse so that fast-time correlated (i.e., colored) RFI is suppressed in the pulse-compression stage preceding the STAP processor. The objective function and constraints for the waveform optimization are derived, and a numerical example demonstrating the efficacy of the approach is provided.

关键词： Clutter Jamming Noise Vectors Radar Covariance matrix

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Beamformer bank optimization for true time delay beam-space processing

Beamformer bank optimization for true time delay beam-space ...

引用

sensor array and multichannel signal processing workshop

作者： Nathan Wilkins Arnab Shaw US Air Force Research Laboratory Munitions Directorate FL USA Department of Electrical Engineering Wright State University Dayton OH USA

The authors examine optimization of the antenna array beamformer bank for a technique to apply coherent signal subspace processing in the beam-space of a bank of true time delay beamformers. This technique offers computational expense advantages over element-space methods, Mean Square Error (MSE) performance similar to wideband coherent subspace techniques and is frequency invariant. This article reports on simulation experiments to improve the true time delay beamformer bank configuration so as to optimize MSE performance of source direction resolution for closely spaced wideband sources. Simulations include pattern search, genetic algorithm and simulated annealing global optimization methods. Results indicate that performance can be significantly improved by applying these methods to the beamformer bank design.

关键词： Delay effects arrays Genetic algorithms Simulated annealing Vectors signal processing

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Decision fusion in MIMO wireless sensor networks with channel state information

Decision fusion in MIMO wireless sensor networks with channe...

引用

sensor array and multichannel signal processing workshop

作者： Domenico Ciuonzo Gianmarco Romano Pierluigi Salvo Rossi Department of Information Engineering Second University of Naples Italy

We study channel-aware binary decision fusion over a Rayleigh flat fading shared channel with multiple antennas at the Decision Fusion Center (DFC). We derive the optimum and three sub-optimal fusion rules, namely the Max-Log, the Chair-Varshney - Maximum Likelihood and the Maximum Ratio Combining rules. Simulation results for the performance are presented in terms of Probability of Detection (under a fixed false alarm rate) vs SNR and number of antennas. The effect of multiple antennas at the DFC for the presented rules is analyzed, showing benefits and limitations of the choice.

关键词： Wireless sensor networks Antennas MIMO signal to noise ratio Vectors Approximation methods Fading

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Exploiting adaptive beamforming for compressive measurements

Exploiting adaptive beamforming for compressive measurements

引用

sensor array and multichannel signal processing workshop

作者： M. Sharp M. Pekala J. Nanzer I-J. Wang D. Lucarelli K. Lauritzen Applied Physics Laboratory Johns Hopkins University USA

Beamformers are spatial filters that focus energy in a particular direction while attempting to eliminate interference from other directions. This paper compares several adaptive approaches that seek to provide detection performance equivalent to classical techniques while using fewer beams, a form of measurement compression. Using an apriori distribution on the source locations together with an initial set of beams as a starting point, these algorithms adaptively form a sequence of beams based on posterior distributions of the source locations. Two methods are considered: one attempts to maximize the trace of the Fisher information and the other maximizes mutual information based on a Gaussian posterior approximation.

关键词： array signal processing Bayesian methods Libraries Approximation methods arrays Vectors Optimization

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A cognitive approach for ambiguity function shaping

A cognitive approach for ambiguity function shaping

引用

sensor array and multichannel signal processing workshop

作者： A. Aubry A. De Maio B. Jiang S. Zhang Università degli Studi di Napoli Federico II Napoli Italy Industrial and Systems Engineering University of Minnesota Minneapolis Minneapolis MN USA

In this paper, we propose a cognitive approach to design phase-only modulated waveforms sharing a desired ambiguity function. We formulate the problem as a quartic order polynomial optimization problem with a constant modulus constraint on each variable. Thus, we devise an optimization procedure based on the Maximum Block Improvement (MBI) approach. At the analysis stage, we assess the performance of the proposed technique showing its capability to properly shape the ambiguity function of the transmitted waveform.

关键词： Optimization Radar Doppler effect Algorithm design and analysis Polynomials Vectors signal processing algorithms

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Microphone array beampattern characterization for hands-free speech applications

Microphone array beampattern characterization for hands-free...

引用

sensor array and multichannel signal processing workshop

作者： Mohammad J. Taghizadeh Philip N. Garner Hervé Bourlard Idiap Research Institute Ecole Polytechnique Fédérale de Lausanne Switzerland Idiap Research Institute Martigny Switzerland

Spatial filtering is the fundamental characteristic of microphone array based signal acquisition, which plays an important role in applications such as speech enhancement and distant speech recognition. In the array processing literature, this property is formulated upon beam-pattern steering and it is characterized for narrowband signals. This paper proposes to characterize the microphone array broadband beam-pattern based on the average output of a steered beamformer for a broadband spectrum. Relying on this characterization, we derive the directivity beam-pattern of delay-and-sum and superdirective beamformers for a linear as well as a circular microphone array. We further investigate how the broadband beam-pattern is linked to speech recognition feature extraction; hence, it can be used to evaluate distant speech recognition performance. The proposed theory is demonstrated with experiments on real data recordings.

关键词： Speech arrays Microphones Speech recognition Broadband communication Narrowband signal to noise ratio

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Optimal precoding design for decentralized detection of deterministic signals

Optimal precoding design for decentralized detection of dete...

引用

sensor array and multichannel signal processing workshop

作者： Jun Fang Hongbin Li Zhi Chen Shaoqian Li National Key Laboratory on Communications University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ USA

ISBN: (纸本)9781467310703

We consider a decentralized detection problem in a power-constrained wireless sensor networks (WSNs), in which a number of sensor nodes collaborate to detect the presence of a deterministic vector signal. The signal to be detected is assumed known a priori. Each sensor conducts a local linear processing to convert its observations into one or multiple messages. The messages are conveyed to the fusion center (FC) by an uncoded amplify-and-forward scheme, where a global decision is made. Given a total network transmit power constraint, we investigate the optimal linear processing strategy for each sensor. Our study finds that the optimal linear precoder has the form of a matched filter. Depending on the channel characteristics, one or multiple versions of the filtered/compressed message should be reported to the FC.

关键词： Vectors Optimization Covariance matrix Matrices Wireless sensor networks Detectors Testing

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Adaptive blind source separation with HRTFs beamforming preprocessing

Adaptive blind source separation with HRTFs beamforming prep...

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sensor array and multichannel signal processing workshop

作者： Mounira Maazaoui Karim Abed-Meraim Yves Grenier Telecom ParisTech France Institut Télécom Télécom ParisTech France

We propose an adaptive blind source separation algorithm in the context of robot audition using a microphone array. Our algorithm presents two steps: a fixed beamforming step to reduce the reverberation and the background noise and a source separation step. In the fixed beamforming preprocessing, we build the beamforming filters using the Head Related Transfer Functions (HRTFs) which allows us to take into consideration the effect of the robot's head on the near acoustic field. In the source separation step, we use a separation algorithm based on the l 1 norm minimization. We evaluate the performance of the proposed algorithm in a total adaptive way with real data and varying number of sources and show good separation and source number estimation results.

关键词： array signal processing Blind source separation Robot sensing systems arrays Microphones

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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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