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

共 1267 条记录，以下是221-230 订阅

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Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization 11

Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar...

引用

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

作者： Xu, Ziting Huang, Bang Hu, Huawei Chen, Hui Wang, Wen-Qin Univ Elect Sci & Technol China Sch Informat & Commun Chengdu Peoples R China

ISBN: (纸本)9781728119465

Frequency-diverse array (FDA) can provide a range-angle-time dependent beamforming capability that could make a difference in some radar applications. However, the joint range-angle estimation of FDA will inevitably increase the complexity due to the coupling range and angle response. Estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm cannot be used directly to estimate the angle and range because it does not meet the rotation invariance criterion. In this paper, an ambiguity function (AF)-based method is proposed to avoid the coupling range and angle problem for the FDA and multiple-input multiple-output (MIMO) combined radar to realize high-resolution range and angle estimation. Numerical results show its advantages over conventional method.

关键词： Ambiguity function ESPRIT frequency diverse array (FDA) Localization multiple-input multiple-output (MIMO)

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Study on Coding Scheme with EPC-MIMO Radar in Clutter-Free Scenario 11

Study on Coding Scheme with EPC-MIMO Radar in Clutter-Free S...

引用

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

作者： Xu, Jingwei So, Hing Cheung Xidian Univ Xian 710071 Shaanxi Peoples R China City Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781728119465

In this paper, the element-pulse coding (EPC) based multiple-input multiple-output (MIMO) radar is studied for resolving range ambiguity in clutter-free scenario. The fundamental transmit and receive procedures as well as the relationship between encoding and decoding are presented. To address the range ambiguity issue, the EPC entries in element dimension are extended to be an arbitrary permutation of the Fourier basis entries. The beampattern is designed to extract the desired target signal while suppressing targets from nuisance range regions. Both conventional and enhanced array beamforming methods are discussed. Simulation examples are provided to demonstrate the effectiveness of the proposed method.

关键词： Multiple-input multiple-output radar element-pulse coding range ambiguity Fourier basis array beamforming

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Maximum likelihood source localization using the EM algorithm to incorporate prior parameter distributions

Maximum likelihood source localization using the EM algorith...

引用

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

作者： Perry, R Buckley, K Villanova Univ ECE Dept Villanova PA 19085 USA

ISBN: (纸本)0780363396

In this paper we introduce a new algorithm for the estimation of source location parameters from array data given prior distributions on unknown nuisance source signal parameters. The conditional maximum-likelihood (CML) formulation is employed, and ML estimation is obtained by marginalizing over the nuisance parameters. In general, direct solution of this marginalization ML problem is intractable. We introduce an expectation-maximization. (EM) algorithm solution, which is applicable to any prior distribution.

关键词： Acoustic applications Biomedical acoustics Biomedical engineering Maximum likelihood estimation Parameter estimation Position measurement Radar applications sensor arrays signal processing algorithms Sonar applications

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Wideband array signal processing using MCMC methods

Wideband array signal processing using MCMC methods

引用

2nd ieee sensor array and multichannel signal processing workshop

作者： Ng, W Reilly, JP Kirubarajan, T Larocque, JR McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

ISBN: (纸本)0780375513

This paper proposes a novel wideband structure for array signal processing. A new wideband model is formed where the observations are linear functions of the source amplitudes, but nonlinear in the direction of arrival (DOA) parameters. The method lends itself well to a Bayesian approach for jointly estimating the model order and the DOAs through a reversible jump Markov chain Monte Carlo (MCMC) procedure. The source amplitudes are estimated through a maximum a posteriori (MAP) procedure. The DOA estimation performance of the proposed method is compared with the theoretical Cramer-Rao lower bound (CRLB) for this problem. Simulation results demonstrate the effectiveness and robustness of the method.

关键词： Direction of arrival

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A low complexity 2-D adaptive array for separating uncorrelated sources

A low complexity 2-D adaptive array for separating uncorrela...

引用

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

作者： Ko, CC Natl Univ Singapore Dept Elect Engn Singapore 117548 Singapore

ISBN: (纸本)0780363396

This paper describes a 2-D adaptive array for separating uncorrelated sources. A matrix preprocessing beamformer, which will result in outputs from individual sources in the steady state, is used. The beamformer is updated periodically using the most recently available source location estimates. These estimates are in turn refined by using the beamformer outputs to adaptively eliminate correlated components in a reference element of the array. Although its initial convergence may be rather erratic, the adaptive algorithm has low O(M) complexity and has only 1 asymptotic time constant.

关键词： Adaptive algorithm Adaptive arrays array signal processing Attenuation Convergence Noise generators Position measurement Power generation Steady-state Working environment noise

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Performance of a Practical Two-Step Detector for Non-Fluctuating Targets

Performance of a Practical Two-Step Detector for Non-Fluctua...

引用

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

作者： Scharrenbroich, Max Zatman, Michael Balan, Radu QinetiQ N Amer Reston VA 22102 USA Univ Maryland Dept Math College Pk MD 20742 USA

ISBN: (纸本)9781467310710

In this paper we analyze a two-step detection scheme for use in distributed sensor systems (e. g. statistical MIMO radar). The scheme arises when a data rate restriction forces each of the distributed systems to censor their detection statistics before sharing. We present the Neyman-Pearson (NP) two-step detection rule for a non-fluctuating target model (Swerling 0), which is non-linear and requires a priori knowledge of the target SNR. We then analyze the performance of a practical two-step detection rule under the non-fluctuating target model.

关键词： Distributed Systems Scheme MIMO radar distributed sensors sensor systems

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Detection in Analog sensor Networks with a Large Scale Antenna Fusion Center

Detection in Analog Sensor Networks with a Large Scale Anten...

引用

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

作者： Jiang, Feng Chen, Jie Swindlehurst, A. Lee Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA

ISBN: (纸本)9781479914814

We consider the distributed detection of a zero-mean Gaussian signal in an analog wireless sensor network with a fusion center (FC) configured with a large number of antennas. The transmission gains of the sensor nodes are optimized by minimizing the ratio of the log probability of detection (PD) and log probability of false alarm (PFA). We show that the problem is convex with respect to the squared norm of the transmission gains, and that a closed-form solution can be found using the Karush-Kuhn-Tucker conditions. Our results indicate that a constant PD can be maintained with decreasing sensor transmit gain provided that the number of antennas increases at the same rate. This is contrasted with the case of a single-antenna FC, where PD is monotonically decreasing with transmit gain. On the other hand, we show that when the transmit power is high, the single-and multi-antenna FC both asymptotically achieve the same PD upper bound.

关键词： Distributed detection Analog sensor networks Neyman-Pearson criterion Massive MIMO

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Multiple window bispectrum estimator

Multiple window bispectrum estimator

引用

4th ieee sensor array and multichannel signal processing workshop

作者： He, Huixia Thomson, David J. Queens Univ Kingston ON K7L 3N6 Canada

ISBN: (纸本)1424403081

By taking the third-order statistical information of processes into account, the bispectrum is a useful tool in digital signal processing and statistics. The paper proposes a nonparametric approach of estimating the bispectrum, using tapers designed to achieve maximal bifrequency concentration. Bispectra are functions of two frequencies plus their sum, so the optimum tapers are not products of Slepian sequences. The new tapers minintize the sixth-moment "energy" leakage in the estimate, and thus the new multiple window bispectrum estimator (MWBE) can be interpreted as minimizing the broad-band bias. Alternatively, the MWBE can be viewed as a solution of an integral inverse problem using an eigenfunction expansion. This approach can be extended to estimate higher-order polyspectra. Numerical simulations use moving average (MA) data with non-Gaussian white driving noise. Simulation results with small sample sizes show that this new MWBE is feasible and mean-squared error (MSE) optimal.

关键词： Digital signal processing

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An Anti-jamming Method Against Frequency Diverse array for ISAR by Spatial Location Feature Recognition 11

An Anti-jamming Method Against Frequency Diverse Array for I...

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

作者： Liu, Zhidong Li, Kaiming Luo, Ying Zhang, Qun Huang, Qingzhu Air Force Enginnering Univ Inst Informat & Nav Xian Peoples R China Unit 94608 PLA Nanjing Peoples R China

ISBN: (纸本)9781728119465

By means of frequency-shifting jamming processing of target echo signal and pulse compression in imaging processing, group of false targets will appear in different spatial locations around the true target. The feature extraction of false targets is complex and limited in existing countering methods. In this paper, an anti-jamming method against frequency diverse array (FDA) is proposed to identify the spatial location characteristics of the deception false targets. By adjusting the parameters of the radar transmitting signal, the method simultaneously transmits the anti-jamming signal and carries out the false target identification and elimination in the range dimension. Eventually, the optimal signal parameter design of anti-jamming signal is given by comparing with the range resolution. The validity of the proposed method is proved by deducing the mathematical model between the spatial distribution characteristics of the false targets and the radar transmitting signal parameters and demonstrated by simulations.

关键词： frequency diverse array inverse synthetic aperture radar anti-jamming spatial location feature Recognition

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A GNSS Structural Interference Mitigation Technique Using Antenna array processing

A GNSS Structural Interference Mitigation Technique Using An...

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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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