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Fast subspace-based source localization methods

Fast subspace-based source localization methods

引用

sensor array and multichannel signal processing workshop

作者： J. Marot C. Fossati S. Bourennane GSM-Institut Fresnel / CNRS-UMR 6133 Ecole Centrale Marseille Marseilles France

Source localization is based on the spectral matrix algebraic properties. Propagator, and Ermolaev-Gershman (EG) noneigenvector algorithms exhibit a low computational load. Propagator is based on spectral matrix partitioning. EG algorithm obtains an approximation of noise subspace using an adjustable power parameter of the spectral matrix and choosing a threshold value. In this paper, we aim at demonstrating the usefulness of QR and LU factorizations of the spectral matrix to improve these methods. Experiments show that the modified propagator and EG algorithms based on factorized spectral matrix lead to better localization results, compared to the existing methods.

关键词： Matrices Noise signal processing algorithms signal to noise ratio Algorithm design and analysis sensors arrays

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Basis pursuit over continuum applied to range-Doppler estimation problem

Basis pursuit over continuum applied to range-Doppler estima...

引用

sensor array and multichannel signal processing workshop

作者： Ashkan Panahi Marie Ström Mats Viberg Signals and Systems Department Chalmers University Sweden

Sparse estimation and compressive sensing techniques have been recently considered for radar estimation problems. It is frequently observed that these methods are robust to model uncertainties and substantially improve performance in scenarios with a low signal-to-noise. However, since current sparsity-based techniques are computationally costly and require a suitable discretization (grid), which strongly restricts resolution, they practically receive less attention. In this work, we present an application of a new sparsity-based technique to the specific problem of range-Doppler estimation. the method, generalizing basis pursuit, is less computationally complex and its performance is independent of the grid selection. We demonstrate that the proposed technique can improve estimation performance in difficult cases, as compared to the SAGE technique.

关键词： Estimation signal processing Radar Optimization signal processing algorithms Conferences arrays

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End-to-end Modelling of the Imaging Pipeline in Radio Astronomy

End-to-end Modelling of the Imaging Pipeline in Radio Astron...

引用

sensor array and multichannel signal processing workshop

作者： Anthony Griffin Andrew Ensor Electrical and Electronic engineering Department Computer Science Department University of Technology New Zealand

the Square Kilometre array (SKA) will push the boundaries of radio astronomy. As such, it will need enormous computing power to process the tremendous amount of data it will produce. Significant savings in computing could be made if some of this processing was done in single-precision. this paper presents our end-to-end modelling of the SKA Imaging Pipeline. We model the signals received by the Central signal Processor (CSP) using our Sky Generator Model. We then process the sky signals with our CSP Correlator Model to generate the visibilities that are passed to the Science Data Processor (SDP). these visibilities are gridded Fourier transformed by our SDP Imaging Model to produce a dirty image. this dirty image is then deconvolved to produce an image of the sky. through our models we investigate the error introduced with reduced numerical precision, and we perform various tests to explore the limits of single-precision processing.

关键词： Mathematical model Receivers array signal processing Imaging arrays Radio astronomy

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Performance analysis of time frequency subspace based direction finding algorithms in presence of perturbed array manifold

Performance analysis of time frequency subspace based direct...

引用

sensor array and multichannel signal processing workshop

作者： Adel Belouchrani Mohamed Khodja Electrical Engineering Department Ecole Nationale Poly technique Algiers Algeria

Conventional subspace based direction finding approaches such as MUSIC and ESPRIT algorithms commonly use the array data covariance matrix. In non stationary context, the use of the Spatial Time-Frequency Distribution (STFD) instead of the covariance matrix can significantly improve the performance of such algorithms. In this paper we are interested in the performance analysis of such approaches in the presence of both additive noise and perturbed array manifold. An unified expression of the Direction Of Arrival (DOA) error estimation is derived for both approaches. the obtained results show that for low signal to Noise Ratio (SNR) and high signal to sensor Perturbation Ratio (SPR) the STFD based DOA estimations perform better, while for high SNR and for the same SPR both Covariance and STFD based approaches have similar performance.

关键词： arrays signal to noise ratio Direction-of-arrival estimation Time-frequency analysis Covariance matrices Multiple signal classification Algorithm design and analysis

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Detection of DVB-T2 control symbols in passive radar systems

Detection of DVB-T2 control symbols in passive radar systems

引用

sensor array and multichannel signal processing workshop

作者： Keijo Pölönen Visa Koivunen SMARAD CoE Department of Signal Processing and Acoustics Aalto University School of Electrical Engineering Aalto Finland

Passive radars offer several advantages over the conventional radar systems by using a source of illumination that is independent from the receivers and primarily used in other purposes. the second generation digital television standard DVB-T2 is a good alternative to be utilized as an illuminating system. Passive radar receivers should be able to detect the target echo at very low signal-to-noise ratios. In this paper, a novel detection method for the DVB-T2 signal is proposed that fulfills these conditions. Distributions of test statistic are established and the performance of the method is verified with simulations. It is shown that the proposed method is suitable for passive radar systems and can be used without the exact knowledge of the transmitted signal waveform.

关键词： Digital video broadcasting signal to noise ratio Passive radar Receivers OFDM Vectors

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Development of the hand held dual sensor ALIS and its evaluation

Development of the hand held dual sensor ALIS and its evalua...

引用

4th International workshop on Advanced Ground Penetrating Radar

作者： Sato, M. Takahashi, K. Fujiwara, J. Tohoku Univ Ctr NE Asian Studies Sendai Miyagi 9808576 Japan Tokyo Gas Co Ltd Tokyo Japan

ISBN: (纸本)9781424408863

GPR has been thought a useful sensor for detection of buried land mines, but no GPR has been practically deployed in humanitarian demining. Since 2002, we have developed a new hand-held land mine detection dual-sensor ALIS. ALIS is equipped with a metal detector and a GPR, and it has a sensor tracking system, which can record the GPR and Metal detector signal with its location. It makes possible to process the data afterwards, including migration. the migration processing drastically increases the quality of the image of the buried objects. ALIS uses two different GPR systems, namely VNA (Vector Network Analyzer) based GPR and an Impulse GPR. VNA based GPR can provide better quality GPR images, although the impulse GPR is faster and light weight. ALIS evaluation tests have been held in mine affected courtiers including Afghanistan, Croatia, Egypt and Cambodia. In the two-month evaluation test in Cambodia, ALIS worked without any problem. After some demonstrations and evaluation, we got many useful suggestions. Using these advises, we have modified the ALIS and it is now more easy to use. ALIS will be commercialized in 2007.

关键词： humanitarian demining GPR hand-held dual sensor sensor tracking system Cambodia

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Online Mutual Coupling Calibration Using a signal Source at Unknown Location

Online Mutual Coupling Calibration Using a Signal Source at ...

引用

sensor array and multichannel signal processing workshop

作者： Tong Wei Bin Liao Huiping Huang Zhi Quan College of Information Engineering Shenzhen University Shenzhen Guangdong Province China

the effect of mutual coupling among the antenna elements will degrade the performance of array signal processing methods, and hence, mutual coupling calibration has attracted many research interests. However, existing approaches to deal with this problem either require the angular information of the calibration source(s) or require computationally expensive procedures to determine the mutual coupling coefficients. To this end, we propose an efficient method to calibrate the mutual coupling with a single source at unknown location. In particular, by exploiting the fact that mutual coupling is inversely related to their separation and is negligible when they are separated by a few wavelengths and the mutual coupling matrix (MCM) of uniform linear array (ULA) can be approximated as a banded symmetric matrix, it is shown that both the signal direction-of-arrival (DOA) and mutual coupling coefficients can be estimated in closed-form without any spectral grid search. Simulation results indicate that the proposed methods is able to provide promising performance compared with existing approaches.

关键词： Mutual coupling Calibration array signal processing Direction-of-arrival estimation Antenna arrays signal to noise ratio sensor arrays

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Low-cost multi-channel underwater acoustic signal processing testbed

Low-cost multi-channel underwater acoustic signal processing...

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sensor array and multichannel signal processing workshop

作者： Koen C.H. Blom Rinse Wester André B.J. Kokkeler Gerard J.M. Smit Department of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

Current systems for multi-channel underwater signal processing suffer from a tied relation between the hardware and physical layer software or require a large amount of engineering work. To provide a low-cost, small form factor and flexible solution, this work presents a multi-channel testbed consisting of an off-the-shelf FPGA board and a simple expansion board. Nonetheless, the proposed testbed provides the flexibility and processing power to evaluate novel multi-channel physical layer algorithms.

关键词： arrays Transducers Field programmable gate arrays Underwater acoustics Noise Hardware Physical layer

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SPECTRUM SHARING IN WIRELESS NETWORKS: A QoS-AWARE SECONDARY MULTICAST APPROACH WIth WORST USER PERFORMANCE OPTIMIZATION

SPECTRUM SHARING IN WIRELESS NETWORKS: A QoS-AWARE SECONDARY...

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Khoa T. Phan Sergiy A. Vorobyov Nicholas D. Sidiropoulos Chintha Tellambura Department of Electrical and Computer Engineering University of Alberta Edmonton AB CANADA Department of Electronic and Computer Engineering Technical University of Crete Chania GREECE

Secondary spectrum usage has the potential to considerably increase spectrum utilization. In this paper, quality-of-service (QoS)-aware spectrum underlay is considered. A multi-antenna access point transmits common information to a set of secondary receivers, by means of appropriate beamforming;the objective is to maximize the multicast beamforming rate (or, equivalently, minimize the signal to noise ratio) for the secondary receivers, while explicitly limiting interference to primary receivers. the formulation incorporates the pragmatic case of inaccurate channel state information (CSI) for both primary and secondary users. Simulation examples illustrate the effectiveness of the proposed approach.

关键词： array signal processing Interference Receivers signal to noise ratio Channel estimation Optimization Wireless communication

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Weighted least squares DORT method in selective focusing

Weighted least squares DORT method in selective focusing

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sensor array and multichannel signal processing workshop

作者： Dinh-Quy Nguyen Woon-Seng Gan Yong-Kim Chong Digital Signal Processing Laboratory Nanyang Technological University Singapore

the DORT (decomposition de lpsilaoperateur de retournement temporel) method is an efficient technique to focus signal on the target. the DORT method requires the measurement of the inter-element impulse responses of the propagating medium for all pairs of elements in the array. the time reversal operator (TRO) is deduced and diagonalized from these responses. But DORT method has worse results in non-ideally resolved scatterer case that two scatterers are placed close with each other. therefore, in this paper, weighted least-squares (WLS) combining with the DORT method are proposed to perform selective focusing in non-ideally resolved scatterer case. this technique can also perform target focusing with higher spatial resolution than original DORT method and faster computation than adaptive beamforming method.

关键词： Focusing array signal processing Scattering Spatial resolution Transmission line matrix methods arrays Correlation

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