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Mainlobe Deceptive Jammer Suppression with FDA-MIMO Radar 10

Mainlobe Deceptive Jammer Suppression with FDA-MIMO Radar

引用

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

作者： Xu, Jingwei Kang, Jialin Liao, Guisheng So, Hing Cheung Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China City Univ Hong Kong Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538647523

Anti-jamming technique has become an increasing demand in radar systems due to the fast development of electronic countermeasures. To alleviate the extremely difficult deceptive jammer suppression problem, frequency diverse array (FDA) based multiple-input multiple-output (MIMO) radar is devised and a sample selection based deceptive jammer suppression method is developed. The basic principle of the FDA-MIMO radar regarding its superiority in canceling the deceptive jammers is studied in detail. In order to handle the pseudo-random distribution issue of false targets within the secondary training samples, a subspace projection based sample selection method is proposed. When certain a priori knowledge of the true target is available, the time-delayed false targets can be adequately suppressed, even if the latter are in the mainlobe direction. Simulation examples demonstrate the effectiveness of our solution.

关键词： Jamming array signal processing Delay effects Radar countermeasures Doppler radar"

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Tracking of Multiple Sources in an Acoustic sensor Network using an Extended Gaussian Mixture PHD Filter 10

Tracking of Multiple Sources in an Acoustic Sensor Network u...

引用

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

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

ISBN: (纸本)9781538647523

We propose an approach for tracking a varying number of simultaneously active acoustic wideband signal sources in an acoustic enclosure. Relying on the assumption of W-disjoint orthogonality, the method uses narrowband position estimates of the sources for the targets. The instantaneous position estimates form clusters rather than single points, as would be required for a conventional Probability Hypothesis Density (PHD) filter. Therefore, we model the position estimates as extended targets and use a special form of the PHD filter, the extended target Gaussian mixture PHD filter, for tracking the targets. This allows to model target birth and death, which correspond to speech onset and end of utterance, respectively. With this model and by using the well-developed theory of Finite Set Statistics (FISST)-based multi-target tracking, we provide a comprehensive, strictly Bayesian treatment of the problem of tracking wideband acoustic sources using narrowband position estimates. We validate the results by tracking a varying number of targets in an enclosure simulated with the image-source method.

关键词： Target tracking Acoustics Direction-of-arrival estimation Narrowband Microphones Bayes methods"

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Joint DOD and DOA Estimation for bistatic MIMO Radar in the presence of Combined array Errors 10

Joint DOD and DOA Estimation for bistatic MIMO Radar in the ...

引用

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

作者： Wen, Fangqing Wu, Lei Cai, Changxin Huang, Dongmei Yangtze Univ Natl Demonstrat Ctr Expt Electrotech & Elect Educ Jingzhou 434023 Peoples R China Naval Command Coll Dept Training Management Nanjing 210016 Peoples R China

ISBN: (纸本)9781538647523

In this paper, we investigate into joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of gain-phase error and mutual coupling error. An auxiliary sensors-based framework is proposed, the matched array measurement of the MIMO radar is formulated as a parallel factor (PARAFAC) model, which links the problem of joint DOD and DOA estimation to PARAFAC decomposition. Thereafter, the DODs and DOAs are obtained via least square strategy. The proposed method is computationally more efficient than the existing reduced-MUSIC method. Besides, it can achieve closed-form solutions for DODs and DOAs, which are paired automatically. Numerical experiments demonstrate the effectiveness of our method.

关键词： multiple-input multiple-output radar direction estimation mutual coupling gain-phase error position error parallel factor analysis

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Compressive Sensing based Direction-of-Arrival Estimation in MIMO Radars in Presence of Strong Jamming via Blocking Matrix 10

Compressive Sensing based Direction-of-Arrival Estimation in...

引用

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

作者： Liu, Beiyi Gui, Guan Matsushita, Shin-ya Xu, Li Akita Prefectural Univ Dept Elect & Informat Syst Akita 0150055 Japan Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781538647523

The performances of the traditional anti-jamming DOA methods for the colocated MIMO radar system will be seriously deteriorated when the number of the snapshots is small. In this paper, a compressive sensing (CS)-based anti-jamming DOA estimation with only a few snapshots is proposed. In the new DOA estimation, the information on the direction of strong jamming is used to construct a blocking matrix that can block the jamming component effectively. Hence, only the desired signal component is left after preprocessing with the blocking matrix. Then, the DOA estimation problem with a blocking matrix is formulated as a sparse recovery problem, and it is solved by the orthogonal matching pursuit (OMP) algorithm. We compare the proposed method with the traditional CS-based method and the traditional anti-jamming DOA methods. Numerical results demonstrate that the proposed method outperforms the traditional methods.

关键词： Jamming Direction-of-arrival estimation Estimation MIMO radar Sparse matrices sensor arrays Matching pursuit algorithms"

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RATE-DISTRIBUTED BINAURAL LCMV BEAMFORMING FOR ASSISTIVE HEARING IN WIRELESS ACOUSTIC sensor NETWORKS 10

RATE-DISTRIBUTED BINAURAL LCMV BEAMFORMING FOR ASSISTIVE HEA...

引用

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

作者： Zhang, Jie Heusdens, Richard Hendriks, Richard C. Delft Univ Technol Circuits & Syst CAS Grp Delft Netherlands

ISBN: (纸本)9781538647523

In this paper, we propose a rate-distributed linearly constrained minimum variance (LCMV) beamformer for joint noise reduction and spatial cue preservation for assistive hearing in wireless acoustic sensor networks (WASNs). The WASN can consist of wireless communicating hearing aids, extended with additional wireless microphones. Due to the fact that each sensor node has a limited power budget, it is essential to consider the energy usage when designing algorithms for such WASNs. As the energy usage in terms of data transmission is directly affected by the communication rate, the proposed method optimally distributes the bit rate for each microphone node. The rate distribution is obtained by minimizing the total transmission costs under constraints on the noise reduction performance and spatial cue preservation of interfering sources. In contrast to sensor selection, i.e., binary decisions on the usefulness of a node, rate distribution allows for soft decisions, and, will lead to more degrees of freedom for joint noise reduction and spatial cue preservation than sensor selection. Numerical results show that given a certain noise reduction requirement, the proposed method displays improved energy efficiency and can preserve the spatial cues of more interferers compared to sensor selection approaches.

关键词： Rate allocation sensor selection LCMV noise reduction energy usage binaural cue preservation hearing aids

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A Method to Suppress the Main-beam Deceptive Jamming in FDA-MIMO Radar with Random Polyphase Codes 10

A Method to Suppress the Main-beam Deceptive Jamming in FDA-...

引用

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

作者： Lan, Lan Liao, Guisheng Xu, Jingwei Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

ISBN: (纸本)9781538647523

The main-beam deceptive jamming reduces the estimation precision and tracking accuracy of the target, which brings huge resources consume and severe challenges along with threats. Besides, it is impossible to obtain perfectly orthogonal waveforms for all Doppler and delay pairs in the multiple-input and multiple-output (MIMO) radar. In this paper, based on the frequency diverse array (FDA)-MIMO radar with random polyphase codes, we have addressed the problem of the main-beam range deceptive jamming suppression with two steps. Firstly, the true and false targets are distinguished in the joint transmit-receive spatial frequency domain according to the time delay difference in the false target generation. Subsequently, due to the range mismatch, the main-beam deceptive jamming can be suppressed through a range-angle adaptive matched filter. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

关键词： Main-beam deceptive jamming orthogonal waveforms frequency diverse array radar joint range-receive spatial frequency domain range-angle adaptive matched filter

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Quasi-Periodic Non-negative Matrix Factorization for Phonocardiographic signals denoising 10

Quasi-Periodic Non-negative Matrix Factorization for Phonoca...

引用

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

作者： Dia, Nafissa Fontecave-Jallon, Julie Gumery, Pierre-Yves Rivet, Bertrand Univ Grenoble Alpes CNRS CHU Grenoble Alpes Grenoble INPTIMC IMAG F-38000 Grenoble France Univ Grenoble Alpes CNRS Grenoble INP GIPSA Lab F-38000 Grenoble France Univ Grenoble Alpes Inst Engn Grenoble France

ISBN: (纸本)9781538647523

Mechanical cardiac activity may be monitored with phonocardiographic (PCG) signals giving access to cardiac sounds. However, many noises interfere with cardiac information in raw signals and denoising such signals is necessary before interpretation. Non-negative Matrix Factorization (NMF) is of interest for time-frequency representations to separate noise and signal components. In this paper, to exploit the quasi-periodicity of the PCG, a quasi-periodic NMF (QP-NMF), based on multiplicative updates derived from a Majoration-Minimization algorithm, is proposed to decompose the PCG spectrograms. Numerical simulations show the good behavior of the proposed method to separate quasi-periodic components from the others. Finally, applied on real noisy PCG signals, QP-NMF shows its interest compared to an unsupervised NMF to denoise PCG signals.

关键词： Phonocardiography signal processing algorithms Interference Estimation Electrocardiography array signal processing sensor arrays"

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Compressive Measurements Exploiting Coprime Frequencies for Direction Finding 10

Compressive Measurements Exploiting Coprime Frequencies for ...

引用

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

作者： Guo, Muran Zhang, Yimin D. Chen, Tao Harbin Engn Univ Coll Informat & Commun Engn Harbin Heilongjiang Peoples R China Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781538647523

Sparse arrays are considered as an effective solution to reduce the system complexity for direction-of-arrival (DOA) estimation as they can resolve more sources than the number of sensors. Inspired by such techniques, the coprime frequency-based array structure was recently proposed to further reduce the number of required sensors. Multiple sensing signals with mutually coprime carrier frequencies are transmitted, and the reflected signals are used to estimate the target DOAs. The cross-correlation obtained from each pair of frequencies provides additional degrees of freedom (DOFs). On the other hand, a compression matrix can be designed to reduce the dimension of the received signal vector, thereby effectively reducing the number of front-end circuit chains. In this paper, we use the compressive measurements of the received signal vector obtained from a coprime frequency-based array structure to estimate the signal DOAs. The proposed scheme can obtain an increased number of DOFs and high estimation accuracy because of the coarray operation and the large array aperture of the coprime frequency-based array structure. Meanwhile, the system complexity is also significantly reduced. The effectiveness of the proposed scheme is validated using simulation results.

关键词： Compressive sensing coprime array coprime frequency DOA estimation group sparsity

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Subspace-Based Localization of Near-Field signals in Unknown Nonuniform Noise 10

Subspace-Based Localization of Near-Field Signals in Unknown...

引用

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

作者： Zuo, Weiliang Xin, Jingmin Zheng, Nanning Sano, Akira Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Xi An Jiao Tong Univ Natl Engn Lab Visual Informat Proc & Applicat Xian 710049 Peoples R China Keio Univ Dept Syst Design Engn Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)9781538647523

In this paper, we consider the problem of estimating the directions-of-arrival (DOAs) and ranges of multiple near-field narrowband signals impinging on a symmetric uniform linear array (ULA) in nonuniform noise in practical applications. By forming a Toeplitz-like correlation matrix from the anti-diagonal elements of the array covariance matrix to convert the nonuniform noise to a uniform one, a new subspace-based localization method is proposed, where the null space is obtained through eigendecomposition of the resultant Toeplitz-like matrix, and the MUSIC method is used to estimate the location parameters, while a new pairing scheme is presented as well. Additionally, an oblique projector based alternating iteration is presented to improve the estimation accuracy of the location parameters, where the "saturation behavior" encountered in most of localization methods is solved effectively. Furthermore, the Cramer-Rao lower bound (CRB) for the near-field signals in unknown nonuniform noise is also derived explicitly. Finally, the effectiveness of the proposed method is verified through numerical examples.

关键词： Near-field nonuniform noise oblique projector source localization statistical analysis uniform linear array

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SVM-based Tool to Detect Patients with Multiple Sclerosis Using a Commercial EMG sensor 10

SVM-based Tool to Detect Patients with Multiple Sclerosis Us...

引用

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

作者： Akhmadeev, Konstantin Houssein, Aya Moussaoui, Said Hogestol, Einar A. Tutturen, Ingerid Harbo, Hanne F. Bos-Haugen, Steffan D. Graves, Jennifer Laplaud, David-Axel Gourraud, Pierre-Antoine Univ Nantes UMR 6004 LS2N Nantes France Ecole Cent Nantes UMR 6004 LS2N Nantes France Univ Oslo Inst Clin Med Dept Neurol Oslo Norway Oslo Univ Hosp Dept Neurol Oslo Norway Univ Calif San Francisco Sch Med Dept Neurol San Francisco CA USA Univ Nantes INSERM Ctr Rech Transplantat & Immunol UMR 1064 Nantes France

ISBN: (纸本)9781538647523

Multiple sclerosis (MS) is a major auto-immune disease that is the leading cause of non-traumatic impairment of the central nervous system (CNS) in young adults. Successful treatment of MS patients depends on accurate tools for both the MS diagnosis and the disability progression. In current and upcoming studies the authors aim to explore the capabilities of applying a commercial electromyographic and inertial sensor (MYO Armband by Thalmic Labs Inc.), coupled with a multichannel signal processing tool, to standard neurological examination of MS progression. In this pilot study we formulate a two-class "healthy control" - "having MS" classification problem. A dataset of electromyographic signals and inertial sensor measurements from 71 individuals (31 MS patients and 40 healthy controls) was acquired during standard neurological examination routine. Temporal and spectral features of the signals were extracted in order to train and validate a classification model. Finally, a Support Vector Machine classifier was obtained giving AUROC = 0.94, 95% CI = [0.88, 0.99]. We propose a set of signal descriptors that correlate with objective components of the neurological examination. The proposed signal acquisition and processing technique, being easy to integrate into the traditional neurological exam, may have high potential for aiding in quantifying MS progression.

关键词： Electromyography Feature extraction Protocols signal processing Support vector machines Multiple sclerosis Foot"

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