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

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Non-parametric detection of unknown correlated multichannel transients with sequential and block hypothesis testing in multiresolution spaces

Non-parametric detection of unknown correlated multichannel ...

引用

2nd IEEE sensor array and multichannel signal processing workshop

作者： Oweiss, KG Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA

ISBN: (纸本)0780375513

The problem of detecting transient multichannel signals of unknown waveform shape has been widely studied in recent years due to the numerous applications associated with it. Nevertheless, the particular case of unknown source waveforms impinging on an array of closely spaced sensors and buried in strong spatially and temporally correlated noise process has received little attention due to its inherent complexity, but yet arises in many array signal processing applications. In this work, we extend our recently developed Multiresolution Generalized Likelihood Ratio Test detector (MRGLRT) [1] to the problem of determining the number of observations needed to make a decision in the statistical hypothesis-testing problem. We reformulate the MRGLRT detector and compare two strategies for the hypothesis testing, namely, sequential and block tests. We show that, on the average, a smaller number of observations are needed to make a decision in either case. The strength of the proposed detector lies in the fact that it is derived under no assumptions about the signal and/or the noise process. We illustrate through simulated and experimental data the superiority of the new detector over the traditional time domain detector in many aspects.

关键词： array processing

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Envelope Only TDOA Estimation for sensor Network Self Calibration

Envelope Only TDOA Estimation for Sensor Network Self Calibr...

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

作者： Zion, Dan Ohev Messer, Hagit Tel Aviv Univ Sch Elect Engn IL-69978 Tel Aviv Israel

ISBN: (纸本)9781479914814

Self localization of nodes in wireless sensor networks (WSN) attracts wide interest in the past few years. The main challenge is to adopt calibration algorithms to the low-power/low-bandwidth/low-cost constrains on each sensor in the network. In this paper we present a novel approach, in which position-known anchors transmit special calibration signals simultaneously. Each node measures only the received signal strength (RSSI), i.e. envelope of the sum of received signals, and estimates time difference of arrivals (TDOA) of the signals. Two or more TDOA measurements allow the node to estimate its own position in the WSN. Based on an analysis of the appropriate Cramer Rao Lower Bound (CRLB) on the TDOA estimates, we suggest the choice of calibrating signals which provide optimal performance. The theoretical results are supported by simulations of the Maximum Likelihood (ML) estimators and numerical evaluation of the CRLB for a specific scenario of interest.

关键词： Wireless sensor networks sensor networks received signal envelopes Time difference of arrival WSN gene Self calibration numerical calculation Envelope Calibration Line of nodes signals

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Distributed Multiarray Noise Reduction With Online Estimation Of Masks And Spatial Filters 11

Distributed Multiarray Noise Reduction With Online Estimatio...

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

作者： Bartolewska, Julitta Kowalczyk, Konrad AGH Univ Sci & Technol Dept Elect PL-30059 Krakow Poland

ISBN: (纸本)9781728119465

A rapid increase in popularity of smart devices equipped with acoustic sensors enables the design of speech enhancement methods for distributed setups. In this work, we present a distributed noise reduction scheme in which the time-frequency masks and spatial filters are estimated at the nodes based on the locally available microphone signals and the compressed signals received from other nodes, where each node transmits only a single signal. The proposed block processing facilitates online estimation of masks and distributed spatial filters in an interchanged fashion. The results of performed numerical experiments indicate that the proposed online distributed noise reduction scheme performs similarly to the centralized approach, in which signals of all microphones of the distributed arrays are available for joint processing, and it significantly outperforms the local approach in which only the local microphone signals are available for the estimation of masks and spatial filters.

关键词： distributed sensor arrays mask-based noise reduction distributed spatial filtering multichannel Wiener filter

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High resolution direction of arrival estimation methods applied to measurements from a digital array antenna

High resolution direction of arrival estimation methods appl...

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

作者： Björklund, S Heydarkhan, A Def Res Estab FOA SE-58111 Linkoping Sweden

ISBN: (纸本)0780363396

At the Defence Research Establishment of Sweden (FOA) an experimental S-band receiving digital array antenna for radar applications has been designed and built. It consists of a horizontal uniform linear array (ULA) of 12 antenna elements, whose digitized signals are processed in non-real time in a computer. Accurate calibration is utilized. We have compared several spectral and parametric direction-of-arrival (DOA) estimation methods for varying DOA separations, number of samples and signal-to-noise ratios (SNR) on measured data from an anechoic chamber. At ideal conditions the resolution can be improved considerably with model based DOA methods compared to conventional beamforming. We achieved a resolution below 1/10 of the resolution of conventional beamforming.

关键词： Antenna arrays array signal processing Calibration Direction of arrival estimation Linear antenna arrays Radar antennas Radar applications Receiving antennas signal processing signal resolution

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Tracking Multiple Evolving Threats With Cluttered Surveillance Observations 10

Tracking Multiple Evolving Threats With Cluttered Surveillan...

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

作者： Sutton, Zachariah Willett, Peter Bar-Shalom, Yaakov Univ Connecticut Dept ECE Storrs CT 06269 USA

ISBN: (纸本)9781538647523

Many threats in the form of human actions (terrorist attacks, military actions, etc.) can be stochastically modeled by someone with relevant expert knowledge. In this work, a threat is taken to be a sequence of actions that evolve over time and culminate at some ultimate goal. A model would be a hypothesis as to how a threat would develop, and what kind of observable evidence it would produce along the way. This modeling method allows us to attempt detection using the preliminary evidence of a threat. This would theoretically allow the user to take preemptive action;i.e. the user can interfere with the threat before its culmination. This work presents a method of stochastically modeling these types of processes using Hidden Markov Models (HMMs). We then present a detection scheme based on random finite set (RFS) filters (Bernoulli filters) that allows for detection of multiple threat processes using a single cluttered stream of observed data.

关键词： Hidden Markov models Clutter Radio frequency Markov processes array signal processing sensor arrays"

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Interferometric array Design Under Regularized Antenna Placements for Interference Suppression 10

Interferometric Array Design Under Regularized Antenna Place...

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

作者： Wang, Xiangrong Amin, Moeness Aboutanios, Elias Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Univ New South Wales Sch Elect Engn Sydney NSW Australia

ISBN: (纸本)9781538647523

Interference suppression is an important task in extensive sensor array applications, including large interferometric arrays in radio astronomy. The interferometric array design in terms of maximizing output signal-to-interference-plus-noise ratio (MaxSINR) calls for freely placing antennas on grid points without imposing any regularity conditions on the array structure. The configured sparse array exhibits multiple drawbacks, most notably, uncontrollable beampatterns with high sidelobes. To overcome these shortcomings, we add conventional beampattern sidelobe constraints in the design formulation. The resulting array is referred to as restricted beampattern array configuration (RBAC). Alternatively, we consider a new regularized placement array configuration (RPAC) strategy, where antenna position constraints are imposed as means for sidelobe control. In this case, the antenna selection is performed such that each segment of grid points must include one antenna, preventing very large inter-element spacing. We formulate the new RPAC problem and compare its solution to that of the RBAC.

关键词： Interferometric array Regularized sensor Placement Sidelobe Suppression Beampattern

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Target Reflectivity Characterization for FDA Radar 11

Target Reflectivity Characterization for FDA Radar

引用

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

作者： Gui, Ronghua Wang, Wen-Qin So, Hing-Cheung Cui, Can Univ Elect Sci & Technol China Chengdu Peoples R China City Univ Hong Kong Hong Kong Peoples R China Shanghai Elect Mech Inst Shanghai Peoples R China

ISBN: (纸本)9781728119465

As an emerging array processing technique, frequency diverse array (FDA) differs from conventional phased-array in that it employs a frequency increment across the array elements. The use of frequency increment provides FDA with an array factor with joint range-angle dependency, which finds wide applications in joint range-angle target localization and range-dependent interference/clutter suppression. In the open literature, an ideal point-like target in far field is generally assumed for FDA signal modelling. However, the reflectivity characterization for more realistic targets, which are not ideally point-like and even extended in range and azimuth angle, has not been reported for FDA radar. In this paper, we establish an echo signal model of FDA radar for a general target, and then analyze the statistics of the echo signal amplitude. More specifically, we reveal the amplitude decorrelation property between different FDA elements due to the use of frequency increment, which provides useful insight into frequency increment design. The target reflectivity characteristic analysis is validated by numerical results.

关键词： Frequency diverse array (FDA) radar cross section (RCS) reflection coefficient frequency decorrelation extended target

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Sample complexity trade-offs for synthetic aperture based high-resolution estimation and detection 11

Sample complexity trade-offs for synthetic aperture based hi...

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

作者： Qiao, Heng Sarangi, Pulak Alnumay, Yazeed Pal, Piya Univ Calif San Diego Dept Elect & Comp Engn San Diego CA 92103 USA

ISBN: (纸本)9781728119465

This paper critically examines the potential performance benefits offered by motion of sparse arrays for direction-of-arrival (DOA) estimation. The motivation behind utilizing array motion is to increase the number of consecutive difference lags. However, creating a synthetic array also requires more temporal measurements compared to the static (non-synthetic) array. For the first time, we rigorously analyze the trade-off between the required number of temporal samples and the length of the difference co-array to understand when synthetic arrays offer distinct advantages. As a concrete result, we show that if the ratio of the number of consecutive lags of the difference coarray of sparse arrays with and without motion is above a universal threshold, the synthetic array outperforms its non-synthetic counterpart and has a smaller estimation error. Our claims are demonstrated both theoretically and through numerical experiments(1).

关键词： Sparse array Difference Co-array array Motion Synthetic array Sample Complexity Trade-Off

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array configuration design for space-time adaptive processing systems

Array configuration design for space-time adaptive processin...

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2nd IEEE sensor array and multichannel signal processing workshop

作者： Yang, KH Zhang, YM Ohira, T ATR Adapt Commun Res Labs Kyoto 6190288 Japan

ISBN: (纸本)0780375513

It is known that the design of antenna array configuration is an important issue to the antenna array applications. In this paper, we present a method to design antenna array configurations for space-time adaptive processing (STAP) applied to mobile communication systems. We first derive an upper bound of the residual error power of STAP systems under the minimum mean square error (MMSE) criterion. Then, the relationship between the bound and the space-time channel auto- and cross-correlation functions is established. According to this relationship, an objective function under perfect Monte Carlo sampling is proposed, based on which the array configuration that optimizes the performance is thus obtained. Numerical simulation results under a given statistical signa environment show the effectiveness of the proposed design method.

关键词： Monte Carlo methods

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On performance study of blind identification of a multipath channel

On performance study of blind identification of a multipath ...

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

作者： Desmézières, A Costa, P Larzabal, P ENS LESiR URA CNRS F-94235 Cachan France

ISBN: (纸本)0780363396

This work presents a general framework for identification of multipath channel. Connexion between different methods are established, allowing comparison of performances. Several blind identification algorithms are;proposed depending of the temporal correlation of the fadings. Moreover we have proposed an approximate ML method which is low computationaly cost and quasi optimal.

关键词： Antenna arrays Antennas and propagation Computational efficiency Cost function Fading Multipath channels Parameter estimation Phase estimation Phased arrays sensor arrays

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