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检索条件"任意字段=4th IEEE Sensor Array and Multichannel Signal Processing Workshop"

共 931 条记录，以下是121-130 订阅

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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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Direction of Arrival Estimation with Microphone arrays Using SRP-PHAT and Neural Networks 10

Direction of Arrival Estimation with Microphone Arrays Using...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Diaz-Guerra, David Beltran, Jose R. Univ Zaragoza Dept Elect Engn & Commun Zaragoza Spain

ISBN: (纸本)9781538647523

the Steered Response Power with phase transform (SRP-PHAT) is one of the most employed techniques for Direction of Arrival (DOA) estimation with microphone arrays due its robustness against acoustical conditions as reverberation or noise. Among its main drawbacks is the growth of its computational complexity when the search space increases. To solve this issue, we propose the use of Neural Networks (NN) to obtain the DOA as a regression problem from a low resolution SRP-PHAT power map. the NNs can learn and exploit the information of the acoustic reflections of the room where the array is located with a training method that can be easily performed by an end user without technical knowledge.

关键词： microphone array direction of arrival DOA Sound Source Localization SSL SRP SRP-PHAT neural netowrks tele-conference system Wireless Acoustic sensor Network WASN WSN

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Exploiting array Motion for Augmentation of Co-prime arrays

Exploiting Array Motion for Augmentation of Co-prime Arrays

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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 Moving Horizon Convex Relaxation for Mobile sensor Network Localization

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

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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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Toeplitz Structured Covariance Matrix Estimation for Radar Applications 11

Toeplitz Structured Covariance Matrix Estimation for Radar A...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Du, Xiaolin Aubry, Augusto De Maio, Antonio Cui, Guolong Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China Yantai Univ Sch Comp & Control Engn Yantai Peoples R China Univ Napoli Federico II DIETI Naples Italy

ISBN: (纸本)9781728119465

Following a geometric paradigm, the estimation of a Toeplitz structured covariance matrix is considered. the estimator minimizes the distance from the Sample Covariance Matrix (SCM) while complying with some specific constraints modeling the covariance structure. the resulting constrained optimization problem is solved globally resorting to the Dykstra' projection framework. Each step of the procedure involves the solution of two convex sub-problems, whose minimizers are available in closed form. Simulation results related to typical radar environments highlight the effectiveness of the devised method.

关键词： Radar signal processing covariance matrix estimation projection Toeplitz structure

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Quantifying the Advantages of Joint processing in TDOA Estimation

Quantifying the Advantages of Joint Processing in TDOA Estim...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Yeredor, Arie Tel Aviv Univ Sch Elect Engn IL-69978 Tel Aviv Israel

ISBN: (纸本)9781467310710

We address the problem of passive estimation of the Time-Difference of Arrival (TDOA) of an unknown, stochastic signal, at two sensors. the key question addressed here is whether additional sensors, receiving the same signal at various relative delays, can serve to improve the accuracy in estimating the TDOA of interest between the first two sensors (without exploiting any underlying parameterization, such as dependence on the transmitter's location). We derive the Cramer-Rao Lower Bound (CRLB) on the resulting joint estimation error in a model which possibly includes multipath reflections. We show analytically, that in a multipath-free scenario, at high to moderate signal to Noise Ratios, additional sensors do not offer any improvement in accuracy. However, we also demonstrate (numerically) that in the presence of multipath reflections (possibly received at all sensors), the additional sensors can indeed assist in estimating the TDOA of interest with improved accuracy.

关键词： Time difference of arrival

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Hybrid Particle Filtering based on an Elitist Resampling Scheme 10

Hybrid Particle Filtering based on an Elitist Resampling Sch...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Halimeh, Mhd Modar Huemmer, Christian Brendel, Andreas Kellermann, Walter Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany

ISBN: (纸本)9781538647523

In this paper, the elitist resampling particle filter (ERPF) is introduced. the ERPF is an approach to combine generic particle filters, i.e., the SIS and SIR particle filter, based on an evolutionary selection of particles, which introduces a long-term memory to the selected group of the particles. thereby, the ERPF aims at fusing the advantages, e.g., robustness and computational efficiency, and mitigating the drawbacks of each filter, e.g., degeneracy and sample impoverishment. Two variants of the ERPF are presented in this paper: the discrete ERPF (DERPF) and the continuous ERPF (CERPF), which to the authors' knowledge represent new forms of particle filters. the two proposed hybrids are compared to the corresponding original filters using two well-established benchmark models to illustrate that the evolutionary combinations provide a better estimation accuracy and exhibit an increased robustness against outliers.

关键词： Estimation Particle filters Robustness Sociology Statistics array signal processing"

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Transmit Beampattern Design for Dual-Function Radar-Communication System with an Interleaved array 11

Transmit Beampattern Design for Dual-Function Radar-Communic...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Chen, Yufeng Liao, Guisheng Yang, Zhiwei Zhu, Shengqi Liu, Yongjun Jiang, Mengchao Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China

ISBN: (纸本)9781728119465

In this paper, a beampattern design method is proposed for the multi-input-multi-output (MIMO) dual-function radar-communication (DFRC) system with an interleaved array. To make full use of the whole aperture, first, the transmit array is partitioned into two interleaved subarrays, one is for radar and the other is for downlink communications. then, both the radar waveform and communication beamformers are optimized by combining the null-space projection (NSP) method and cyclic approach (CA) to perform the coexistence of MIMO radar and downlink communications. Besides, the communication beampattern can be utilized to improve the detection performance. Finally, several numerical results are given to show the effectiveness of the proposed method.

关键词： dual-function radar-communication transmit beampattern interleaved array MIMO

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A new beamformer based on phase dispersion to improve 2D sparse array response

A new beamformer based on phase dispersion to improve 2D spa...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Martinez-Graullera, Oscar Romero-Laorden, David Ibanez, Alberto Ullate, Luis G. CAEND UPM CSIC Madrid 28006 Spain

ISBN: (纸本)9781467310710

this work studies a new beamformer for non-periodic sparse bidimensional ultrasonic array transducer. It is based on a weighting factor based on signals phase dispersion to enhance the image points where the phase coherence between the received signals is high. A method to measure the phase dispersion based on Fourier analysis and its integration in the beamformer are presented. Its performance is evaluated using a non-periodic 2D sparse array based on Fermat spiral with 96 elements and a diameter of 60 lambda. Compared with conventional Delay-And-Sum beamformer the proposed solution reduces the aperture lateral resolution and improves its dynamic range, achieving up to 50dB of contrast in the image and less 1 degrees in lateral resolution.

关键词： Fourier analysis

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Iterative Sparse through-the-Wall Imaging

Iterative Sparse Through-the-Wall Imaging

引用

ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Nikolic, Marija Nehorai, Arye Djordjevic, Antonije Univ Belgrade Sch Elect Engn Bulevar Kralja Aleksandra 73 Belgrade 11000 Serbia Washington Univ Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781467310710

We consider iterative electromagnetic imaging of metallic targets hidden behind dielectric walls using sparse regularization. As in the equivalent-source method, we assume that the targets can be approximated by a set of filament currents whose locations are unknown. By using the iterative procedure, we reveal additional filament currents thus enlarging the target image. In order to take into account the mutual interaction between the current sources, and yet obtain the model amenable to signal processing, we combine the method of moments and the ray tracing.

关键词： target image Ray tracing Current sources Iterative Iterative Process MEthOD OF MOMENTS Cytoskeletal Filaments signal processing Imaging

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