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检索条件"任意字段=2008 IEEE Sensor Array and Multichannel Signal Processing Workshop"

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Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging

Scalable Algorithm for Polarization Constrained Sparse Inter...

引用

sensor array and multichannel signal processing workshop

作者： Jasleen Birdi Audrey Repetti Yves Wiaux Institute of Sensors Signals and Systems Heriot-Watt University Edinburgh UK

Polarized emissions from various astrophysical sources provide an additional means to infer the properties of the source. This information can be extracted by imaging the Stokes parameters characterizing these emissions, from the incomplete Fourier sampling measurements provided by the radio interferometer. To solve the corresponding ill-posed inverse problem, we recently proposed the Polarized SARA method which exploits the polarization constraint along with imposing an average sparsity prior for each of the Stokes parameters, encompassed in a reweighting approach. Motivated by the large amounts of data produced by the next-generation radio interferometers, in the current work, we propose a scalable version of this method, combined with an accelerating strategy. We showcase the performance of this improved method on a real dataset acquired by the Very Large array (VLA).

关键词： Imaging signal processing algorithms Stokes parameters Antenna measurements Radio interferometry Image reconstruction array signal processing

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RLS-Based Adaptive Dereverberation Tracing Abrupt Position Change of Target Speaker

RLS-Based Adaptive Dereverberation Tracing Abrupt Position C...

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sensor array and multichannel signal processing workshop

作者： Teng Xiang Jing Lu Kai Chen Key Laboratory of Modern Acoustics and Institute of Acoustics Nanjing University Nanjing China

Adaptive algorithm based on multi-channel linear prediction is an effective dereverberation method balancing well between the attenuation of the long-term reverberation and the dereverberated speech quality. However, the abrupt change of the speech source position, usually caused by the shift of the speakers, forms an obstacle to the adaptive algorithm and makes it difficult to guarantee both the fast convergence speed and the optimal steady-state behavior. In this paper, the RLS-based adaptive multi-channel linear prediction method is investigated and a time-varying forgetting factor based on the relative weighted change of the adaptive filter coefficients is proposed to effectively tracing the abrupt change of the target speaker position. The advantages of the proposed scheme are demonstrated in the simulations and experiments.

关键词： Conferences Acoustics array signal processing sensor arrays Speech processing Zinc

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Analytical PARAFAC Decomposition with Application in Semi-Blind Diversity Detection

Analytical PARAFAC Decomposition with Application in Semi-Bl...

引用

sensor array and multichannel signal processing workshop

作者： Janis Nötzel Christian Arendt Eduard Jorswieck Technische Universität Dresden BMW Group 80788 München Technische Universität München

multichannel signal processing scenarios are a natural domain for application of tensor decomposition methods. In particular, such methods aim to increases the reliability of a wireless communication link by exploiting spatial diversity originating from multiple decorrelated antennas at the receivers side in a single-input-multiple-output channel. A novel analytical PARAFAC method based on Fourier transforms is proposed. It detects relative phase information of the diversity channels. The novel algorithm is embedded into a decoder design that estimates the amplitudes of the communication link as well as antenna noise levels at the receivers in a semi-blind fashion. The performance of the algorithm is analyzed and compared to a state-of-the-art semi-blind decoder.

关键词： Tensile stress signal processing algorithms Antenna arrays Mathematical model Diversity reception Binary phase shift keying

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Joint Range, Angle and Doppler Estimation for FDA-MIMO Radar

Joint Range, Angle and Doppler Estimation for FDA-MIMO Radar

引用

sensor array and multichannel signal processing workshop

作者： Jian Xu Wen-Qin Wang Can Cui Ronghua Gui School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

Frequency diverse array (FDA) radar for joint range and angle estimation has drawn much attention, but Doppler estimation is often ignored in the literature. In this paper, we propose joint range, angle and Doppler estimation for FDA-multiple-input multiple-output (FDA-MIMO) radar. In order to reduce the computation complexity, the Doppler is independently estimated firstly by the extended invariance principle instead of maximum likelihood (ML) estimator. Next, the range and angle are estimated separately with the unstructured model. That is, the three-dimensional search problem of joint range, angle and Doppler estimation is simplified into three one-dimensional search problems. The superiorities of the proposed method over conventional ML algorithms are verified by numerical results.

关键词： Doppler effect Doppler radar array signal processing Maximum likelihood estimation sensor arrays

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Joint DOD and DOA Estimation for Bistatic MIMO Radar in the Presence of Combined array Errors

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

引用

sensor array and multichannel signal processing workshop

作者： Fanaqing Wen Lei Wu Changxin Cai Dongmei Huang National Demonstration Center for Experimental Electrotechnics and Electronics Education Yangtze University Jingzhou China Department of Training Management Naval command college Nanjing China

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： sensor arrays US Department of Defense Direction-of-arrival estimation Estimation Mutual coupling signal processing algorithms array signal processing

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Combining Artificial and Natural Background Noise in Personal Audio Systems

Combining Artificial and Natural Background Noise in Persona...

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sensor array and multichannel signal processing workshop

作者： Daniel Wallace Jordan Cheer Institute of Sound and Vibration Research University of Southampton Southampton UK

Personal audio systems are designed to deliver spatially separated regions of audio to individual listeners. This paper presents a method for improving the privacy of such systems. The level of a synthetic masking signal is optimised to provide specified levels of intelligibility in the bright and dark sound zones and reduce the potential for annoyance of listeners in the dark zone by responding to changes in ambient noise. Results from a simulated personal audio system indicate that less acoustic contrast is required to produce the same level of privacy when artificial masking is included in the system design, compared with relying on the masking effect of background noise alone. As privacy requirements become more challenging, the advantage gained by incorporating artificial masking increases.

关键词： Noise measurement Audio systems Privacy Psychoacoustics array signal processing

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An Anti-jamming Method of ISAR Imaging with FDA-MIMO Radar

An Anti-jamming Method of ISAR Imaging with FDA-MIMO Radar

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sensor array and multichannel signal processing workshop

作者： Guangming Li Qun Zhang Ying Luo Kaiming Li Linghua Su Rui Li Graduate college Air Force Enginnering University Xi'an China Information and Navigation college Air Force Enginnering University Xi'an China

In recent years, the frequency diverse array (FDA) radar has attracted much attention due to its range-angle dependent beam-pattern. And multiple input multiple output (MIMO) radar has been widely investigated with the advantage of transmit waveform diversity. In this paper, a FDA-MIMO Inverse Synthetic Aperture Radar (ISAR) is proposed to achieve anti-jamming of ISAR imaging. LFM (Linear Frequency Modulated) and SFCS (Stepped-Frequency Chirp signal) signals are transmitted to jammer and targets respectively, and the received signals are matched filtering by the signal transmitted to the targets. So the jamming signal can't matched with the reference signal, the well anti-jamming effect can be obtained. The performance of the proposed method is evaluated by the simulation results.

关键词： Jamming Radar imaging array signal processing Imaging Radar signal processing Frequency modulation

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Consistent Least Squares Estimator for Co-array-Based DOA Estimation

Consistent Least Squares Estimator for Co-Array-Based DOA Es...

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sensor array and multichannel signal processing workshop

作者： Saeid Sedighi R Bhavani Shankar Mysore Sina Maleki Björn Ottersten Reliability and Trust (SnT) University of Luxembourg

Sparse linear arrays (SLAs), such as nested and co-prime arrays, have the attractive capability of providing enhanced degrees of freedom by exploiting the co-array model. Accordingly, co-array-based Direction of Arrivals (Doas) estimation has recently gained considerable interest in array processing. The literature has suggested applying MUSIC on an augmented sample covariance matrix for co-array-based Doas estimation. In this paper, we propose a Least Squares (LS) estimator for co-array-based DoAs estimation employing the covariance fitting method as an alternative to MUSIC. We show that the proposed LS estimator provides consistent estimates of Doas of identifiable sources for SLAs. Additionally, an analytical expression for the large sample performance of the proposed estimator is derived. Numerical results illustrate the finite sample behavior in relation to the derived analytical expression. Moreover, the performance of the proposed LS estimator is compared to the co-array-based MUSIC.

关键词： Covariance matrices Direction-of-arrival estimation Multiple signal classification Estimation array signal processing sensor arrays Geometry

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Comparison of Sparse arrays From Viewpoint of Coarray Stability and Robustness

Comparison of Sparse Arrays From Viewpoint of Coarray Stabil...

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sensor array and multichannel signal processing workshop

作者： Chun-Lin Liu P. P. Vaidyanathan Dept. of Electrical Engineering MC 136–93 California Institute of Technology Pasadena CA USA

Sparse arrays, such as minimum redundancy arrays (MRA), nested arrays, and coprime arrays, can resolve O(N 2 ), uncorrelated sources with N physical sensors, since they possess an O(N 2 ) -long uniform segment in the difference coarray, which is defined as the differences between sensor locations. Empirically, this O(N 2 ), property is susceptible to sensor failures. On the other hand, uniform linear arrays (ULA) are known to be robust, but they possess only O(N) elements in the difference coarray. This paper compares the size and the robustness of the difference coarray for a wide variety of array geometries. It is observed from numerical examples that, for a fixed N, increasing the size of the difference coarray typically makes it less robust to faulty sensors. Furthermore, it is noticed from examples that given two arrays with the same N and the same difference coarray, one could be much more robust than the other.

关键词： sensor arrays Robustness array signal processing Redundancy Geometry Conferences

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A Method to Suppress the Main-Beam Deceptive Jamming in FDA-MIMO Radar with Random Polyphase codes

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

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sensor array and multichannel signal processing workshop

作者： Lan Lan Guisheng Liao Jingwei Xu National Lab of Radar Signal Processing Xidian University Xi'an China

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： Jamming Radar Frequency-domain analysis array signal processing sensor arrays Conferences

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