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检索条件"任意字段=4th Conference of the Sensor Signal Processing for Defence, SSPD 2014"

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Degradation of Covariance Reconstruction-Based Robust Adaptive Beamformers 4

Degradation of Covariance Reconstruction-Based Robust Adapti...

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4th conference of the sensor signal processing for defence (sspd)

作者： Somasundaram, Samuel D. Jakobsson, Andreas Thales UK Gen Sonar Studies Stockport Lancs England Lund Univ Dept Math Stat Lund Sweden

ISBN: (纸本)9781479952939;9781479952946

We show that recent robust adaptive beamformers, based on reconstructing either the noise-plus-interference or the data covariance matrices, are sensitive to the noise-plusinterference structure and degrade in the typical case when interferer steering vector mismatch exists, often performing much worse than common diagonally loaded sample covariance matrix based approaches, even when signal-of-interest steering vector mismatch is absent.

关键词： Array signal processing Covariance matrices Interference Robustness signal to noise ratio Vectors signal to noise ratios array signal processing Covariance matrix variance covariance matrix beamformers Robustness interference steering vector Noise sample covariance Cloning Vectors

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Implementation of an autocorrelation-based spectrum sensing algorithm in real-world channels with frequency offset 4

Implementation of an autocorrelation-based spectrum sensing ...

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4th conference of the sensor signal processing for defence (sspd)

作者： Chambers, Pat Sellathurai, Mathini Univ Surrey Ctr Commun Syst Res CCSR Guildford GU2 7XH Surrey England Heriot Watt Univ Sch Engn & Phys Sci Inst Sensors Signals & Syst Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9781479952939;9781479952946

this work presents a testbed implementation of a spectrum sensing algorithm for cognitive radio that is based on the autocorrelation function. Much of the work in current literature uses simulation based approaches to characterize functionality. In contrast here, the algorithm is applied in real-world channels and compared with appropriate simulations. It is shown how the algorithm may be improved to overcome the problem of frequency offset, which is a hardware-based impairment that current literature on the algorithm generally does not consider.

关键词： Cognitive radio Correlation Educational institutions Modulation OFDM sensors signal to noise ratio signal to noise ratios Cognitive radio Educational institutions FREQUENCY SHIFT Orthogonal frequency division multiplexing sensors algorithms

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Constant Envelope Fractional Fourier Transform based Waveform Libraries for MIMO Radar 4

Constant Envelope Fractional Fourier Transform based Wavefor...

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4th conference of the sensor signal processing for defence (sspd)

作者： Ilioudis, Christos V. Clemente, Carmine Proudler, Ian Soraghan, John J. Univ Strathclyde Ctr Excellence Signal & Image Proc Glasgow Lanark Scotland Loughborough University Sch Elect Elect & Syst Engn Loughborough Leics England

ISBN: (纸本)9781479952939;9781479952946

In this paper an efficient technique to generate novel libraries of phase-coded waveforms with constant envelope aimed at optimizing signal retrieval is presented. the modulation technique is based on the Fractional Fourier Transform (FrFT), where the signal waveforms retain their constant modulus. Reconstruction of sequences from the FrFT based waveforms is explored by means of the Error Reduction Algorithm (ERA), while the constant envelope property is kept unchanged. Additionally comparison between reconstructed and original sequences is also carried out in terms of performance and cross-correlation properties of the signals. Simulation results demonstrate the effectiveness of the novel waveform libraries considering design parameters such as resolution, interfering power, orthogonality and signal bandwidth.

关键词： Fractional Fourier Transform (FrFT) Constant Envelope (CE) Fractional Waveform Libraries Error Reduction Algorithm (ERA)

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Parallel processing of the Fast Decimation-in-image Back-projection Algorithm for SAR 4

Parallel Processing of the Fast Decimation-in-image Back-pro...

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4th conference of the sensor signal processing for defence (sspd)

作者： Kelly, Shaun I. Davies, Mike E. thompson, John Univ Edinburgh Inst Digital Commun Edinburgh EH8 9YL Midlothian Scotland

ISBN: (纸本)9781479952939;9781479952946

Fast back-projection algorithms provide substantial speedup when compared with the standard back-projection algorithm. However in many potential near-field applications of synthetic aperture radar, further speedup is still required in order to make the application operationally feasible. In this paper we investigate the application of multi-core central processing units and graphic processing units, which are now standard on most scientific workstations, to further speed up a very recently proposed fast back-projection algorithm (the fast decimation-inimage back-projection algorithm).

关键词： Approximation algorithms Approximation methods Graphics processing units Image segmentation Multicore processing Standards Synthetic aperture radar Projection algorithms Synthetic aperture radar Approximation method Approximation algorithms image segmentation Graphics processing Unit Fasting PARALLEL processing (COMPUTERS) Speeding

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Polynomial Subspace Decomposition for Broadband Angle of Arrival Estimation 4

Polynomial Subspace Decomposition for Broadband Angle of Arr...

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4th conference of the sensor signal processing for defence (sspd)

作者： Alrmah, Mohamed A. Corr, Jamie Alzin, Ahmed thompson, Keith Weiss, Stephan Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XW Lanark Scotland

ISBN: (纸本)9781479952939;9781479952946

In this paper we study the impact of polynomial or broadband subspace decompositions on any subsequent processing, which here uses the example of a broadband angle of arrival estimation technique using a recently proposed polynomial MUSIC (P-MUSIC) algorithm. the subspace decompositions are performed by iterative polynomial EVDs, which differ in their approximations to diagonalise and spectrally majorise s apce-time covariance matrix. We here show that a better diagonalisation has a significant impact on the accuracy of defining broadband signal and noise subspaces, demonstrated by a much higher accuracy of the P-MUSIC spectrum.

关键词： Broadband communication Covariance matrices Jacobian matrices Multiple signal classification Narrowband Polynomials Vectors Polynomial Multiple signal classification Broadband networks Jacobian matrix Narrowband Subspace Angle of arrival variance covariance matrix Covariance matrix broadband broadband signal Estimation Techniques

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Lattice-Reduction Aided Successive Optimization Tomlinson-Harashima Precoding Strategies for Physical-Layer Security in Wireless Networks 4

Lattice-Reduction Aided Successive Optimization Tomlinson-Ha...

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4th conference of the sensor signal processing for defence (sspd)

作者： Lu, Xiaotao Zu, Keke de Lamare, Rodrigo C. Univ York Dept Elect Commun Res Grp York YO10 5DD N Yorkshire England Ericsson Res Kista Stockholm Sweden CETUC PUC Rio Gavea RJ Brazil

ISBN: (纸本)9781479952939;9781479952946

In this paper, we investigate precoding techniques for physical-layer security in multi-user MIMO systems under various conditions of channel state information (CSI). A Lattice Reduction (LR) aided non-linear precoding technique based on Successive Optimization Tomlinson-Harashima Precoding (SO-thP) and Simplified Generalized Matrix Inversion (S-GMI) technique is proposed along with a strategy for injecting artificial noise prior to transmission. Simulation results show that the proposed LR-SO-thP+S-GMI precoding technique outperforms existing non-linear and linear precoding algorithms in terms of BER and secrecy rate performances.

关键词： Physical-layer security techniques precoding transmit processing

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2014 sensor signal processing for defence, sspd 2014

2014 Sensor Signal Processing for Defence, SSPD 2014

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4th conference of the sensor signal processing for defence, sspd 2014

ISBN: (纸本)9781479952946

the proceedings contain 29 papers. the topics discussed include: degradation of covariance reconstruction-based robust adaptive beamformers;polynomial subspace decomposition for broadband angle of arrival estimation;a sparse regularized model for Raman spectral analysis;nonlinear spectral unmixing of hyperspectral images using residual component analysis;reducing false alarms in automated target recognition using local sea-floor characteristics;introspective classification for pedestrian detection;OFDM-based distributed estimation for rich scattering environments;target aided online sensor localization in bearing only clusters;quantized fusion rules for energy-based distributed detection in wireless sensor networks;and signatures of braking surface targets in spotlight synthetic aperture radar.

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OFDM-based Distributed Estimation for Rich Scattering Environments 4

OFDM-based Distributed Estimation for Rich Scattering Enviro...

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4th conference of the sensor signal processing for defence (sspd)

作者： Santucci, Robert Banavar, Mahesh K. Zhang, Sai Spanias, Andreas Tepedelenlioglu, Cihan Arizona State Univ SenSIP Ctr Sch ECEE Tempe AZ 85287 USA

ISBN: (纸本)9781479952939;9781479952946

A preliminary investigation has been conducted into the use of orthogonal frequency-division multiple-access for distributed estimation. the key difference from previous work in the literature is that the channels between the sensors and the fusion center contain multiple paths with time lags, amplitudes, and phase rotations due to fading. Orthogonal frequency-division multiplexing has been proven to be an effective modulation scheme in the presence of multipath channels, and thus has been utilized in these experiments. this estimation system was designed to operate in a heavily scattered environment where synchronizing the transmitters and developing channel statistics has proven difficult to achieve. sensors measure a signal in noise, modulate the measured data over an OFDM subcarrier, and transmit this to a fusion center over a Gaussian multiple-access channel. the transmissions are received at the fusion center using an OFDM receiver, and the estimation process is completed. Simulations demonstrate the effectiveness of the technique.

关键词： Channel estimation Estimation Noise measurement OFDM Rician channels sensor fusion Orthogonal frequency division multiplexing Rician channels Noise measurement sensor fusion channel estimation sensors

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Performance metric in closed-loop sensor management for stochastic populations 4

Performance metric in closed-loop sensor management for stoc...

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4th conference of the sensor signal processing for defence (sspd)

作者： Delande, Emmanuel D. Houssineau, Jeremie Clark, Daniel E. Heriot Watt Univ Sch Engn & Phys Sci Edinburgh Midlothian Scotland

ISBN: (纸本)9781479952939;9781479952946

Methods for sensor control are crucial for modern surveillance and sensing systems to enable efficient allocation and prioritisation of resources. the framework of partially observed Markov decision processes enables decisions to be made based on data received by the sensors within an information-theoretic context. this work addresses the problem of closed-loop sensor management in a multi-target surveillance context where each target is assumed to move independently of other targets. Analytic expressions of the information gain are obtained, for a class of exact multi-target tracking filters are obtained and based on the Renyi divergence. the proposed method is sufficiently general to address a broad range of sensor management problems through the application-specific reward function defined by the operator.

关键词： Context Current measurement Sociology Statistics Surveillance Target tracking Yttrium Current measuring Electric current measurement Sociology Target tracking Rare earths yttrium information gain sensors sensory control Performance metrics Markov chain

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Topographic Visual Analytics of Multibeam Dynamic SONAR Data 4

Topographic Visual Analytics of Multibeam Dynamic SONAR Data

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4th conference of the sensor signal processing for defence (sspd)

作者： Rice, Iain Lowe, David Aston Univ NCRG Birmingham B4 7ET W Midlands England

ISBN: (纸本)9781479952939;9781479952946

this paper considers the problem of low-dimensional visualisation of very high dimensional information sources for the purpose of situation awareness in the maritime environment. In response to the requirement for human decision support aids to reduce information overload (and specifically, data amenable to inter-point relative similarity measures) appropriate to the below-water maritime domain, we are investigating a preliminary prototype topographic visualisation model. the focus of the current paper is on the mathematical problem of exploiting a relative dissimilarity representation of signals in a visual informatics mapping model, driven by real-world sonar systems. A realistic noise model is explored and incorporated into non-linear and topographic visualisation algorithms building on the approach of [9]. Concepts are illustrated using a real world dataset of 32 hydrophones monitoring a shallow-water environment in which targets are present and dynamic.

关键词： Data models Data visualization Mathematical model Noise Probabilistic logic Sonar Vectors sonar Probabilistic logic data models Data visualisation Mathematical Model Noise Visualization shallow-water environment Visual analytics Noise models Information source Cloning Vectors

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