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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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Subband STAP processing, the fifth generation

Subband STAP processing, the fifth generation

引用

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

作者： Steinhardt, AO Pulsone, NB DARPA Tact Technol Off Arlington VA 22203 USA

ISBN: (纸本)0780363396

Adaptive array processing has moved through several stages of evolution. First there was spatial only adaptation, using gradient based algorithms. Second was true space-time adaptivity using time-taps on multiple channels. Third came more rapid convergence, using sample matrix inversion strategies. Fourth came dimensionally large system solutions, which focused opt the need for reduced DOF such as beamspace, eigenspace, MUSIC, ESPRIT, BASS-ALE, etc. This paper argues that sue are on the threshold of the fifth generation of STAP;mainly STAP in the subband domain. Subband STAP, is an elegant and computationally efficient solution to the need for increasing bandwidth in radar and sonar processing as well as mobile communications. We begin by motivating the need for wider bandwidths, from a SAR imaging perspective. Next, we show that the computational burden of wideband STAP is untenable for existing and emerging military requirements. Having motivated a compelling need we then propose Subband STAP as a solution, motivated from an active sensor perspective. We describe Subband STAP as an extension of the familiar STAP 3D datacube (range, angle, Doppler) to a 4D hypercube (subband range, angle, subband Doppler, subband frequency). Subbanding allows us to overcome challenging wideband effects such as Doppler-frequency coupling, high-resolution range migration, target self-nulling channel decorrelation, and dispersion. We describe the challenges of Subband STAP interference rejection and subband recombination with artifacts.

关键词： array signal processing Bandwidth Hypercubes Military computing Mobile communication Multiple signal classification Radar imaging Radar polarimetry Sonar Wideband

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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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Wideband array signal processing using MCMC methods

Wideband array signal processing using MCMC methods

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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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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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Optimal Precoding Design for Decentralized Detection of Deterministic signals

Optimal Precoding Design for Decentralized Detection of Dete...

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

作者： Fang, Jun Li, Hongbin Chen, Zhi Li, Shaoqian Univ Elect Sci & Technol China Natl Key Lab Commun Chengdu 610054 Peoples R China Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA

ISBN: (纸本)9781467310710

We consider a decentralized detection problem in a power-constrained wireless sensor networks (WSNs), in which a number of sensor nodes collaborate to detect the presence of a deterministic vector signal. The signal to be detected is assumed known a priori. Each sensor conducts a local linear processing to convert its observations into one or multiple messages. The messages are conveyed to the fusion center (FC) by an uncoded amplify-and-forward scheme, where a global decision is made. Given a total network transmit power constraint, we investigate the optimal linear processing strategy for each sensor. Our study finds that the optimal linear precoder has the form of a matched filter. Depending on the channel characteristics, one or multiple versions of the filtered/compressed message should be reported to the FC.

关键词： Decentralized detection precoding design wireless sensor networks

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Network Design Via Modular Set Function Optimization in Localization Problems

Network Design Via Modular Set Function Optimization in Loca...

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

作者： Shames, Iman Summers, Tyler Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3052 Australia ETH Automat Control Lab Zurich Switzerland

ISBN: (纸本)9781479914814

We consider the problem of selecting anchors for sensor network localization to optimize a metric of the error covariance of the position estimates. We show that an interesting metric is a modular set function, which allows a globally optimal selection to be obtained using a simple greedy algorithm. We also consider a separate but related problem of choosing a subset of distance measurements between pairs of sensors to optimize a metric of the error covariance. We utilize again modularity properties of an associated set function to construct networks with desirable algebraic rigidity properties. The results are illustrated via numerical examples, which scale to problems beyond the capabilities of current state-of-the-art convex relaxation techniques.

关键词： Network design Modularity greedy algorithm Metric Metronidazole sensor networks Set (Psychology) Covariance Relaxation Techniques

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Application of 2D-direction locked loop tracking algorithm to mobile satellite communications

Application of 2D-direction locked loop tracking algorithm t...

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4th ieee sensor array and multichannel signal processing workshop

作者： Gieron, Roman Siatchoua, Patrice IMST GmbH Carl Friedrich Gauss Str 2 D-47475 Kamp Lintfort Germany

ISBN: (纸本)1424403081

Mobile satellite terminals especially with high-gain antenna require fast and accurate beam tracking algorithms for communication. The main topic of this paper is the extension of a tracking algorithm to mobile satellite communications, its implementation and performance. The presented considerations and simulation results concern low SNR condition and narrow antenna beam configuration as existing in satellite communications. The assumed satellite is geostationary. The work is presented in context of SANTANA-2 project, (Smart Antenna Terminal), founded and supported by the German DLR on behalf of BMBF. The realized terminal uses an antenna array in Ka-band and fully implements Digital BeamForming (DBF) to control the beam pointing direction and the antenna beam shape.

关键词： tracking algorithm antenna array array signal processing mobile satellite communications digital beamforming Ka-band

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Robust signal Detection by Using The EEF

Robust Signal Detection by Using The EEF

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

作者： Kay, Steven Ding, Quan Rangaswamy, Muralidhar Univ Rhode Isl Dept Elect Comp & Biomed Engn Kingston RI 02881 USA Wright Patterson AFB US Air Force Res Lab Columbus OH USA

ISBN: (纸本)9781467310710

In detection theory, the optimal Neyman-Pearson rule applies when the characteristics of the signal and the noise are completely known. However, in many practical scenarios such as multipath or moving targets, only partial knowledge of the signal can be obtained. In this paper, we examine the case when the alternative hypothesis has multiple candidate models, and apply the multimodal sensor integration technique based on the exponentially embedded family to detection. It is shown that our method is asymptotically optimal as it converges to the true underlying model. Furthermore, this method is computationally efficient. We also compare the proposed method with existing classifier combining rules by simulations.

关键词： Detection exponentially embedded family multimodal sensor integration robustness

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Statistical Angular Resolution Limit for array Radar with Ultrawideband Stochastic signals

Statistical Angular Resolution Limit for Array Radar with Ul...

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

作者： Zhou, Xiaoli Wang, Hongqiang Cheng, Yongqiang Qin, Yuliang Chen, Haowen Sun, Bin Natl Univ Def Technol Sch Elect Sci & Engn Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781479914814

The 2-D angular resolution limit for array radar with ultrawideband (UWB) stochastic signals based on the statistical resolution theory is presented in this paper. The signal model of monostatic array radar with circular array configuration and UWB stochastic signals is established, while the resolution of two closely spaced targets is modelled as a binary hypothesis test. The statistical angular resolution limit (SARL) for array radar with UWB stochastic signals is derived based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and detection. The effects of detection parameters, transmit waveforms, array geometry, signal-to-noise ratio and parameters of target on SARL are analysed. Compared with the conventional resolution defined by ambiguity function, the SARL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design.

关键词： array radar Ultra wideband technologies ANGULAR RESOLUTION resolution limit optimal criterion signals Resolving power Stochastic False alarms

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