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GENERALIZED COPRIME array CONFIGURATIONS

GENERALIZED COPRIME ARRAY CONFIGURATIONS

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Qin, Si Zhang, Yimin D. Amin, Moeness G. Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)9781479914814

A coprime array consists of two uniform linear subarrays that construct an effective difference co-array with certain desirable characteristics. In this paper, we propose a generalized coprime array concept through the compression of the interelement spacing of one constituting subarray. As such, the existing variations of coprime array and nested array structures are represented as special cases. the achievable unique lags as well as consecutive lags in the resulting virtual array are analytically expressed, and the direction-of-arrival estimation performance is examined using both the MUSIC algorithm and sparse signal reconstruction techniques.

关键词： Coprime array sparse array difference co-array direction-of-arrival estimation compressive sensing

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Interference Mitigation in GNSS Receivers by array signal processing: A Software Radio Approach

Interference Mitigation in GNSS Receivers by Array Signal Pr...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Arribas, Javier Closas, Pau Fernandez-Prades, Carles CTTC Castelldefels 08860 Spain

ISBN: (纸本)9781479914814

the fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-service situations. Complementary to time-and frequency-domain mitigation techniques, it is well known that antenna-array based receivers can benefit from spatial domain processing and effectively mitigate unintentional and intentional Radio Frequency Interferences (RFIs). In this work, we propose a software-based GNSS receiver architecture that implements a real-time, array-based signal acquisition algorithm based on the Generalized Likelihood Ratio Test, combined with a null-steering spatial filter for signal tracking, showing its RFI rejection capabilities.

关键词： disturbance suppression likelihood ratio test Global Navigation Satellite System Receivers Software radio Spatial filters array signal processing precise registration

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Multidimensional ESPRIT: A Coupled Canonical Polyadic Decomposition Approach

Multidimensional ESPRIT: A Coupled Canonical Polyadic Decomp...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Sorensen, Mikael De lathauwer, Lieven Katholieke Univ Leuven EE Dept ESAT STADIUS Ctr Dynam Syst Signal Proc & Data Analyt B-3001 Leuven Heverlee Belgium iMinds Med IT Dept B-3001 Leuven Heverlee Belgium KU Leuven Kulak Grp Sci Engn & Technol B-8500 Kortrijk Belgium

ISBN: (纸本)9781479914814

the ESPRIT method is a classical method for one-dimensional harmonic retrieval. During the past two decades it has become apparent that several applications in signal processing correspond to the less studied Multidimensional Harmonic Retrieval (MHR) problem. In order to accommodate this demand, we propose an extension of ESPRIT to MHR based on the coupled canonical polyadic decomposition. this leads to a dedicated uniqueness condition and an algebraic framework for MHR.

关键词： Canonical decomposition MULTIDIMENSIONAL signal processing harmonics retrieval Esapent coupling

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A Moving Horizon Convex Relaxation for Mobile sensor Network Localization

A Moving Horizon Convex Relaxation for Mobile Sensor Network...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Simonetto, Andrea Leus, Geert Delft Univ Technol Fac EEMCS NL-2826 CD Delft Netherlands

ISBN: (纸本)9781479914814

In mobile sensor network localization problems we seek to estimate the position of the mobile sensor nodes by using a subset of pair-wise range measurements (among the nodes and with mobile anchors). When the sensor nodes are static, convex relaxations have been shown to provide a remarkably accurate approximate solution to this NP-hard estimation problem. In this paper, we propose a novel convex relaxation to tackle the more challenging dynamic case and we develop a moving horizon convex estimator based on a maximum a posteriori (MAP) formulation. the resulting estimator is then compared to standard extended and unscented Kalman filters both with respect to computational complexity and performance with simulated data. the results are promising, yet a more detailed analysis is needed.

关键词： sensor networks Convexity Mobile Ganglia Kalman filters Horizon complexity classes Moving Relaxation

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Exploiting array Motion for Augmentation of Co-prime arrays

Exploiting Array Motion for Augmentation of Co-prime Arrays

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Ramirez, Juan, Jr. Odom, Jonathan Krolik, Jeffrey Duke Univ Dept Elect Comp Engn Durham NC 27708 USA

ISBN: (纸本)9781479914814

In this paper, we combine concepts from synthetic aperture processing and non-uniform linear array theory. Our objective is to use array motion to synthesize an array that can achieve the performance of a filled uniform linear array (ULA), but with fewer sensors than required for spatial Nyquist sampling. the class of physical arrays we use for synthesis are co-prime arrays constructed by nesting under-sampled ULA's with co-prime inter-element spacings. In particular, we use array motion to fill in missing co-array spacings. For co-prime M and N, a physical array of M + 2 N - 1 sensors plus modest array motion is used to achieve a filled co-array corresponding to approximately 2 M N elements. this facilitates spatial spectral estimation via non-adaptive beamforming over an extended aperture with low sidelobe performance.

关键词： Spectrum analysis

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A GNSS Structural Interference Mitigation Technique Using Antenna array processing

A GNSS Structural Interference Mitigation Technique Using An...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Daneshmand, Saeed Jafarnia-Jahromi, Ali Broumandan, Ali Lachapelle, Gerard Univ Calgary Schulich Sch Engn Posit Locat & Nav PLAN Grp Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781479914814

Position solutions provided by Global Navigation Satellite Systems (GNSS) can be completely misled by structural interference or spoofing threats. An approach utilizing an antenna array is proposed in order to suppress spoofing attacks. the proposed method is based on the assumption that all spoofing signals are transmitted from a single point source. A spatial domain processing technique is proposed to extract the spoofing signal steering vector and consequently to discard the spoofing signals. this method is implemented before despreading and acquisition stage of a GNSS receiver. Hence, it does not impose a heavy computational load on the receiver operational process since it does not require any extensive search in the code and Doppler domains to separately despread individual authentic and spoofing signals. Moreover, the proposed method does not require any antenna array calibration process. this pre-despreading interference mitigation technique is further extended to maximize signal-to-noise ratio (SNR) of each individual authentic GNSS signal. Simulation results show that the proposed method effectively countermeasures spoofing attacks for a wide range of received spoofing power.

关键词： Spoofing disturbance suppression computer information security Antenna arrays Global Navigation Satellite System array processing signal to noise ratios

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RIDGE REGRESSION AND KALMAN FILTERING FOR TARGET TRACKING IN WIRELESS sensor NETWORKS

RIDGE REGRESSION AND KALMAN FILTERING FOR TARGET TRACKING IN...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Mahfouz, Sandy Mourad-Chehade, Farah Honeine, Paul Farah, Joumana Snoussi, Hichem Univ Technol Troyes Inst Charles Delaunay CNRS Troyes France Univ St Esprit Kaslik Fac Engn Dept Telecommun Juniyah Lebanon

ISBN: (纸本)9781479914814

this paper introduces an original method for target tracking in wireless sensor networks that combines machine learning and Kalman filtering. A database of radio-fingerprints is used, along with the ridge regression learning method, to compute a model that takes as input RSSI information, and yields, as output, the positions where the RSSIs are measured. this model leads to a position estimate for each target. the Kalman filter is used afterwards to combine the model's estimates with predictions of the target's positions based on acceleration information, leading to more accurate ones.

关键词： radio-fingerprinting Kalman filter ridge regression RSSI tracking WSN

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Distributed Source processing with Linear Nested arrays

Distributed Source Processing with Linear Nested Arrays

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Han, Keyong Nehorai, Arye Washington Univ Preston M Green Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781479914814

We consider the problem of using linear nested arrays to estimate the direction of arrival (DOA) of spatially distributed sources and detect the source number, where we have more sources than the actual physical sensors. Angular spread, caused by the multipath nature of distributed sources, makes the commonly used point source assumption ineffective. In this paper, we establish the signal model for distributed sources using a nested array. Due to the characteristics of distributed sources, the regular spatial smoothing technique, which is used to exploit the increased degrees of freedom provided by the co-array, no longer works. We thus propose a novel spatial smoothing approach to circumvent this problem. Based on the analytical results, we construct corresponding DOA estimation and source number detection methods. the effectiveness of the proposed methods is verified through numerical examples.

关键词： Distributed source nested array direction of arrival estimation source number detection

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Localization and array Shape Estimation Using Software Defined Radio array Testbed

Localization and Array Shape Estimation Using Software Defin...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Akindoyin, Akinbiyi Willerton, Marc Manikas, Athanassios Imperial Coll London Elect & Elect Engn London England

ISBN: (纸本)9781479914814

the emergence of software defined radio (SDR) aims to increase flexibility as well as reduce cost, size, weight and power (SWAP) inherent in traditional hardware radios. this paper is concerned with addressing issues associated with the formation of an array system from multiple SDR boards where each has an independent local oscillators (LO) in a multi-antenna system using representative examples such as localization and array shape estimation. In particular, practical experimental results are initially presented for estimating the unknown location of a single source using an SDR array of known array geometry. Furthermore, in the case that the SDR array geometry is unknown, a novel array shape estimation algorithm is proposed. the proposed algorithm estimates the antenna locations without requiring any external sources. this is achieved by allowing the array elements operate as transceivers.

关键词： Software defined radio array shape estimation localization

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Distributed Ensemble Kalman Filtering

Distributed Ensemble Kalman Filtering

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Shahid, Arslan Uestebay, Deniz Coates, Mark McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 2A7 Canada

ISBN: (纸本)9781479914814

We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism. the distributed filters use randomized gossip to reach consensus on the statistics needed to perform an update. Simulation results suggest that in the case of linear measurements and high-dimensional nonlinear measurements (with measurement model parameters known network-wide) with nonlinear state dynamics the proposed schemes achieve accuracy comparable to state-of-the-art distributed filters while significantly reducing the communication overhead.

关键词： Kalman filtering Distribute Wireless sensor networks Linear measurement Filters Distributed measurement Simulation results Gossip

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