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

共 2593 条记录，以下是311-320 订阅

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Detection of more uncorrelated Gaussian sources than sensors using fully augmentable sparse antenna arrays

Detection of more uncorrelated Gaussian sources than sensors...

引用

1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Abramovich, YI Spencer, NK Gorokhov, AY CSSIP Cooperat Res Ctr Sensor Signal & Informat Proc Mawson Lakes SA 5095 Australia

ISBN: (纸本)0780363396

We introduce a new approach to the detection problem for "fully augmentable" arrays (whose set of intersensor differences is complete). We propose a transformation of the directly augmented (non-positive-definite) Toeplitz matrix into a p.d Toeplitz matrix T-mu with the proper number of equal minimum eigenvalues, appropriate for the candidate number of sources mu. comparison of the results of these best-fit transformations over the range of candidates then allows us to select the most likely number of sources (m) over cap using traditional criteria, Simulation results demonstrate the high performance of this method.

关键词： Antenna arrays Australia Covariance matrix Direction of arrival estimation Eigenvalues and eigenfunctions Information processing Lakes sensor arrays signal processing Statistics

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Optimal adaptive array and angle tracking of multiple targets - A re-examination of optimal array processing

Optimal adaptive array and angle tracking of multiple target...

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4th IEEE sensor array and multichannel signal processing workshop

作者： Gu, Huaijin Louisiana Tech Univ Ruston LA USA

ISBN: (纸本)1424403081

The optimal array for detecting the signal from a desired direction but contaminated by receiver noise and strong interference from different sources with unknown arriving-angles is re-examined. The well-known optimal array is obtained by inverting the covariance matrix of interference and noise to maximize the signal to interference and noise ratio (SINR). In practice, the covariance matrix is unknown and has to be estimated by a sample covariance matrix. The optimal array is thus estimated by inverting the sample covariance matrix. This procedure has been employed in optimal array research without challenge. However, it is shown in this paper that the estimated optimal array fails to yield the highest SINR in the case of unknown arriving-angles. Instead the highest SINR can be achieved by optimally estimating the arriving-angles of interference followed by a constrained matched filter, which maximizes the signal to noise ratio subject to canceling the interference from the estimated arriving-angles. In order to reduce the computational burden, an angle-tracking system for multiple targets is adopted to achieve the optimal estimation of arriving-angles. The resulting system of angle-tracking adaptive array offers the highest SINR at a computational burden only on the order of N . M-2 multiplications within a radar range-cell Delta tau, rather than N-3 multiplications in the well-known but questionable estimated optimal array. Here N is the number of sensors in the array and M the number of interference sources. Typically, N = 1,000 in a planar radar array, M = 2 similar to 10 and Delta tau = 1 mu S. Numerical simulations confirm the theoretical results.

关键词： array processing

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Adaptive digital beamforming for preserving monopulse target angle estimation accuracy in jamming

Adaptive digital beamforming for preserving monopulse target...

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1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Yu, KB Murrow, DJ GE Res & Dev Ctr Niskayuna NY 12309 USA

ISBN: (纸本)0780363396

The monopoulse technique for target angle estimation fails when there is sidelobe and/or mainlobe jamming. If not effectively encountered, electronic jamming prevents successful radar target detection and tracking. We have developed a technique which cancels one mainlobe jammer and multiple sidelobe jammers in such a way that enables both target detection and unbiased monopulse angle estimation. Our technique makes use of adaptive digital beamforming for sidelobe jamming cancellation followed by a mainlobe canceller for mainlobe jamming cancellation. A constrained adaptation is imposed to maintain the mainbeam in the sidelobe cancellation process.

关键词： Adaptive arrays array signal processing Direction of arrival estimation Jamming Object detection Phased arrays Radar tracking signal processing algorithms signal to noise ratio Target tracking

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Underdetermined DOA Estimation of Quasi-Stationary signals in the Presence of Malfunctioning sensors 11

Underdetermined DOA Estimation of Quasi-Stationary Signals i...

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

作者： Sun, Weize Xu, Chuangxiang Huang, Yingying Huang, Lei nShenzhen Univ Guangdong Lab Artificial Intelligence & Cyber Eco Shenzhen Peoples R China Shenzhen Univ Guangdong Lab Artificial Intelligence & Cyber Eco Shenzhen Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

This paper address the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals based on uniform linear array with malfunctioning sensors. By utilizing the subspace structures of the local second-order statistics of quasi-stationary signals, a Khatri-Rao subspace approach is developed. Our scheme first collects the local covariance matrices of the source signals and then transfers them into a new virtual linear array which can identify at least twice as much DOAs as to the original physical one. It is also shown that the coprime configuration is a special case of the proposed model therefore the same techniques can be applied directly. Simulations are also carried out for the comparison of the proposed algorithm and state-of-the-art approaches.

关键词： parameter estimation direction-of-arrival estimation malfunctioning sensors coprime array

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Tensor-Based Approach to Channel Estimation in Amplify-and-Forward MIMO Relaying Systems

Tensor-Based Approach to Channel Estimation in Amplify-and-F...

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

作者： Cavalcante, Italo Vitor de Almeida, Andre L. F. Haardt, Martin Univ Fed Ceara Dept Teleinformat Engn Fortaleza Ceara Brazil Ilmenau Univ Technol Commun Res Lab Ilmenau Germany

ISBN: (纸本)9781479914814

A novel method is devised to jointly estimate the channel matrices involved in a relay-assisted MIMO communication system. We first propose a trilinear coding structure to be used at the amplify-and-forward (AF) relays for combining the received signals while spreading the combined signals across transmit antennas and time blocks, before retransmission. This structure provides antenna selection at the relays and different amplification schemes with non-diagonal amplification matrices. Then, by exploiting the tensor structure of the end-to-end MIMO links, the channel matrices are iteratively estimated by means of a combined alternating least squares (Comb-ALS-MIMO) algorithm that couples PARAFAC and Tucker2 decompositions for the received signals. The proposed method provides an effective solution to the channel estimation problem due to the efficient use of cooperative diversity and tensor-based signal processing.

关键词： channel matrix channel estimation relay received signal multiple input multiple output systems transmitting antennas matrices relaying signal processing

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Direction of Arrival Estimation of Non-circular signals using Modified Nested array 11

Direction of Arrival Estimation of Non-circular Signals usin...

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

作者： Zhang, Xiaofei Wang, Yunfei Zheng, Wang Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Dynam Cognit Syst Electromagnet Spectrum Minist Ind & Informat Technol Nanjing 211106 Peoples R China

ISBN: (纸本)9781728119465

In this paper, we investigate the issue of direction of arrival (DOA) estimation of non-circular (NC) signals, and propose a modified nested array with enhanced degrees of freedom (DOFs) and a vectorized NC propagator method (VNC-PM) algorithm which can utilize the difference-sum co-array to perform DOA estimation. Specifically, we modify the conventional nested array by switching the positions of the two subarrays aiming to obtain a difference-sum co-array with higher DOFs. In order to fully exploit the provided DOFs and obtain higher estimation accuracy, we utilize the NC characteristic to generate the equivalent received signal of the difference-sum co-array and exploit the quasi-stationary property of the signal to avoid the spatial smoothing technique which leads to the DOF degradation. The modified PM based on the rotational invariance is then employed to obtain DOA estimates, where NC phases can be eliminated. Simulations are provided to evaluate the superiority of the proposed configuration and DOA estimation algorithm.

关键词： DOA estimation non-circular signals nested array difference-sum co-array

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Broadband signal subspace processing for range estimation

Broadband signal subspace processing for range estimation

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2nd IEEE sensor array and multichannel signal processing workshop

作者： Jeffers, R Bell, KL Digital Syst Resources Inc Fairfax VA USA

ISBN: (纸本)0780375513

The problem of broadband range and bearing estimation is considered. Coherent focusing of the data covariance matrix over multiple frequency bins for 2-D MUSIC estimation is studied and compared to incoherent summing of the MUSIC cost function over frequency bins. Coherent focusing provides improved performance over incoherent processing in the far-field bearing-only estimation problem, but introduces instabilities when applied to the near-field range and bearing estimation problem. The cost function response in the range parameter is not highly peaked, so initial focusing using even a slightly incorrect range estimate prevents convergence of the range estimate to the true range value. Incoherent processing, on the other hand, is less computationally complex, and achieves the Cramer-Rao lower bound at high SNR.

关键词： Cost functions

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Multi-bit Decentralized Detection of a Non-cooperative Moving Target Through a Generalized Rao Test 11

Multi-bit Decentralized Detection of a Non-cooperative Movin...

引用

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

作者： Cheng, Xu Ciuonzo, Domenico Rossi, Pierluigi Salvo Wang, Xiaodong Shi, Longfei Natl Univ Def Technol CEMEE Changsha Peoples R China Armed Police Coll PAP Beijing Peoples R China Univ Naples Federico II Naples Italy NTNU Trondheim Norway Columbia Univ ECE New York NY 10027 USA

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

We consider decentralized detection (DD) of an uncooperative moving target via wireless sensor networks (WSNs), measured in zero-mean unimodal noise. To address energy and bandwidth limitations, the sensors use multi-level quantizers. The encoded bits are then reported to a fusion center (FC) via binary symmetric channels. Herein, we propose a generalized Rao (G-Rao) test as a simpler alternative to the generalized likelihood ratio test (GLRT). Further, the asymptotic performance of a trajectory-clairvoyant (multi-bit) Rao test is leveraged to develop an offline and per-sensor quantizer design. Simulations show the appeal of G-Rao test with respect to the GLRT, and the gain in detection by using multiple bits for quantization.

关键词： Decentralized detection Generalized Rao test GLRT multibit quantizer wireless sensor networks

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Experimental Evaluation of a Universal Dominant Mode Rejection Beamformer 10

Experimental Evaluation of a Universal Dominant Mode Rejecti...

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

作者： Wage, Kathleen E. Buck, John R. George Mason Univ Elect & Comp Engn Dept Fairfax VA 22030 USA Univ Massachusetts Dartmouth Elect & Comp Engn Dept Dartmouth MA 02747 USA

ISBN: (纸本)9781538647523

The Dominant Mode Rejection (DMR) beamformer is designed to operate in non-stationary environments where few snapshots are available to estimate the sample covariance matrix (SCM). DMR assumes that the covariance can be split into orthogonal subspaces defined by the SCM eigenvectors: the first contains the loud interferers and the second contains the remaining signals and noise. The DMR approach requires an estimate of the rank of the interference subspace. Motivated by universal linear prediction, Buck and Singer propose a universal DMR beamformer that computes its weight vector as a linear combination of weight vectors for a set of fixed rank DMR beamformers. This universal DMR beamformer eliminates the need to explicitly estimate the rank of the interference subspace. Under reasonable mathematical assumptions, the universal DMR beamformer is guaranteed to converge to the performance of the best fixed rank beamformer in the set. This paper explores the performance of the universal DMR beamformer for a passive sonar data set acquired with a vertical line array deployed in the Philippine Sea.

关键词： Eigenvalues and eigenfunctions Standards sensor arrays Narrowband array signal processing Covariance matrices Interference"

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An approach to adaptive beam-forming for wide-band systems using a subband decomposition

An approach to adaptive beam-forming for wide-band systems u...

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1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Raz, GM MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0780363396

The purpose of this work is to introduce two variations of an approach to adaptive beam-forming for wide-band sensor array systems using a subband decomposition. Subband decomposition facilitates a computational complexity efficient approach to the adaptive beam-forming problem. We derive optimal adaptive weights in the subband domain using two optimality criteria: (a) maximum SINE, and (b) mint mum MSE. It is shown that, unlike the narrow-band case where these criteria yield the same weights up to an overall multiplicative constant, here the two criteria result in different adaptive weights. Explicit conditions for this approach are given. Further, an approach for avoiding spatial mismtch errors is shown.

关键词： Adaptive arrays Computational complexity Covariance matrix Filter bank Gas insulated transmission lines Narrowband sensor arrays sensor systems signal to noise ratio Wideband

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