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IMP-Based Fast Adaptive Beamforming Algorithms

IMP-Based Fast Adaptive Beamforming Algorithms

引用

sensor array and multichannel signal processing workshop

作者： M. Tanaka H. Saitoh A. Sano Department of System Design Engineering Keio University Yokohama Japan

This paper is concerned with new fast adaptive beamforming algorithms which are based on the internal model principle, to deal with fast fading environment to track the desired signal changes and suppress the interferences. The LMS and RLS algorithms for constructing nulls are derived by incorporating an AR model into the weight dynamics, and then can track fast fading environment. The convergence analysis of mean and mean-square error of the weight vector are also investigated and stability condition is clarified. Numerical simulation results show that the proposed algorithms can improve tracking ability and BER performance in DS-CDMA systems

关键词： array signal processing Fading Interference suppression Least squares approximation Resonance light scattering Convergence Stability analysis Numerical simulation Bit error rate Multiaccess communication

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signal Strength Localization Bounds in Ad Hoc and sensor Networks when Transmit Powers are Random

Signal Strength Localization Bounds in Ad Hoc and Sensor Net...

引用

sensor array and multichannel signal processing workshop

作者： N. Patwari A.O. Hero Department of Electrical Engineering & Computer Science University of Michigan Ann Arbor USA

sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramer-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds

关键词： Intelligent networks Acoustic sensors Wireless sensor networks Acoustic measurements Particle measurements Bayesian methods Computer science Electric variables measurement Performance evaluation Humans

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Utility-Based MIMO Uplink Beamforming

Utility-Based MIMO Uplink Beamforming

引用

sensor array and multichannel signal processing workshop

作者： J. Duplicy J. Louveaux L. Vandendorpe Communications and Remote Sensing Laboratory Department of Electrical Engineering Université catholique de Louvain Louvain-la-Neuve Belgium

This paper addresses the design of transmit and receive beamformers in a multiple-input multiple-output (MIMO) uplink system. To optimize the beamformers, we introduce a new utility function defined as a weighted difference between users' rates and their transmit power. This new criterion allows to take into account whether the users are more rate-sensitive or power-sensitive. Beamformers and power allocation are iteratively computed by resorting to the framework of non-cooperative game theory

关键词： MIMO array signal processing Multiaccess communication Antenna arrays Base stations Game theory Batteries Adaptive arrays Downlink Frequency division multiplexing

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Cognitive Radar Networks

Cognitive Radar Networks

引用

sensor array and multichannel signal processing workshop

作者： S. Haykin McMaster University Hamilton ONT Canada

This paper describes the use of cognitive radar networks for the reliable surveillance of an environment where the likelihood of the presence of uncooperative targets is high. Despite the limited effectiveness of amplitude as a radar discriminant, through the clever use of detection through tracking, the detection performance of the noncoherent radar is enhanced. Further improvement in overall performance can be attained through the adaptive illumination of the environment, made possible by linking the receiver to the transmitter via a feedback channel, which, in turn, makes the tracking adaptive, and sensor fusion performed in the central base station

关键词： Radar tracking Radar detection Surveillance Target tracking Lighting Joining processes Transmitters Feedback sensor fusion Base stations

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Blind Timing Synchronization for OFDM Systems via Adaptive Beamforming

Blind Timing Synchronization for OFDM Systems via Adaptive B...

引用

sensor array and multichannel signal processing workshop

作者： Kehu Yang Xueyao He E. E. Research Institute Xidian University Xi'an China

It is known that blind timing synchronization of OFDM systems can be realized for AWGN channels using the redundant information of cyclic prefix. In this paper, we extend the blind method to the case of array receivers via adaptive beamforming, and a new approach is proposed to improve the synchronization accuracy for high data rate OFDM systems, where rich multipath rays are present. The extended method is to coherently combine the desired signals of array receivers and suppress the undesired signals using adaptive beamforming. And the approach is to reduce the effect of multipath rays on synchronization. Simulation results show that in rich multipath scenarios the approach works effectively both in the absence and the presence of carrier frequency offset

关键词： Timing OFDM Adaptive systems array signal processing Frequency synchronization Adaptive arrays Baseband Helium Laboratories AWGN channels

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A hierarchical Bayesian approach to direction finding and beamforming

A hierarchical Bayesian approach to direction finding and be...

引用

sensor array and multichannel signal processing workshop

作者： S. Sirianunpiboon S.D. Howard J. Asenstorfer Defence Science and Technology Organisation Edinburgh Australia

It is well known in array processing that general multiple signal model based approaches for direction of arrival estimation, such as maximum likelihood (ML) or maximum a posteriori (MAP) estimation, are optimal. The major drawbacks of these approaches, is that not only do we need to know the number of signals a priori, but these methods also involve multivariate nonlinear maximizations which can often lead to an unacceptably large computational overhead. In this paper we propose a hierarchical Bayesian analysis for high accuracy direction finding and the resolution of closely spaced signals. The approach is to use a one signal model posterior distribution to obtain an initial coarse location of the signals. We then take each peak found and analyze it locally with a two signal model. In this way the computational load is kept modest as the optimizations are carried out only locally around the peak and there is no need to know, a priori, the number of signals. It is shown that this approach also provides a basis for the development of robust beamformers through the use of Laplace asymptotic expansions.

关键词： Bayesian methods array signal processing signal analysis Direction of arrival estimation Maximum likelihood estimation signal resolution sensor arrays Robustness Gaussian distribution Australia

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Maximum Likelihood Localization using GARCH Noise Models

Maximum Likelihood Localization using GARCH Noise Models

引用

sensor array and multichannel signal processing workshop

作者： H. Amiri H. Amindavar R.L. Kirlin Department of Electrical Engineering Amirkabir University of Technology슠 Tehran Iran Department of Electrical Engineering University of Victoria Victoria Canada

In this paper we propose a new source localization method using additive noise modeling based on generalized autoregressive conditional heteroscedasticity (GARCH) time-series. We use the GARCH noise model in the maximum likelihood (ML) sense for the estimation of direction of arrival (DOA) of impinging narrowband sources. In an actual application, the measurement of additive noise in a natural environment shows that noise can sometimes be significantly non-Gaussian and non-stationary. GARCH time-series are feasible for heavy-tail probability density function (PDF) and time-varying variances of stochastic noise process. We examine the suitability of the proposed method using simulated and experimental data

关键词： Additive noise sensor arrays Working environment noise Maximum likelihood estimation Direction of arrival estimation signal processing Narrowband Noise measurement signal processing algorithms Gaussian distribution

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Performance Analysis of ML Estimation under Misspecified Numbers of signals

Performance Analysis of ML Estimation under Misspecified Num...

引用

sensor array and multichannel signal processing workshop

作者： Pei-Jung Chung Institute for Digital Communications Joint Research Institute for Signal & Image Processing School of Engineering and Electronics University of Edinburgh UK

ISBN: (纸本)1424403081

The maximum likelihood (ML) approach for estimating direction of arrival (DOA) plays an important role in array processing. Its consistency and efficiency have been well established in literature. A common assumption is that the number of signals is known. In many applications, this information is not available and needs to be estimated. However, the estimated number of signals may not equal the true number of signals. Therefore, it is important to know whether the ML estimator provides any relevant information about the true parameters. In a previous study, the ML estimator was shown to converge to a well defined vector whose components coincide with the true parameters. In this work, we investigate the impact of model mismatch on estimation accuracy. Applying the theory of misspecified nonlinear regression models, we derive a compact formula for the asymptotic covariance matrix. Our analysis and simulation show that the variance increases when the number of signals is incorrectly chosen

关键词： Performance analysis Maximum likelihood estimation Direction of arrival estimation Covariance matrix signal processing array signal processing Digital communication Image processing Analysis of variance signal analysis

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Structured Covariance Estimation: Theory, Application, and Recent Results

Structured Covariance Estimation: Theory, Application, and R...

引用

sensor array and multichannel signal processing workshop

作者： D.R. Fuhrmann Electronic Systems and Signals Research Laboratory Department of Electrical and Systems Engineering Washington University of Saint Louis Saint Louis MO USA

The maximum-likelihood approach to structured covariance estimation and spectrum estimation has wide applicability in time series analysis, spectroscopy, adaptive beamforming and detection, remote sensing, radio astronomy, and radar imaging. Standard structured covariance EM algorithm with full model matrices is computationally demanding. Computational requirements drastically reduced when model matrices are sparse. Sparse structure may be achieved through appropriately chosen data preprocessing. We are investigating application in problem of airborne radar imaging from multiple viewpoints, previously computationally unrealistic

关键词： Estimation theory Covariance matrix Sparse matrices Maximum likelihood detection Maximum likelihood estimation Spectral analysis Image analysis Time series analysis Spectroscopy array signal processing

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Throughput of Large Wireless Networks on Square, Hexagonal and Triangular Grids

Throughput of Large Wireless Networks on Square, Hexagonal a...

引用

sensor array and multichannel signal processing workshop

作者： Kezhu Hong Yingbo Hua Department of Electrical Engineering University of California Riverside CA USA

Capacity analysis of sensor networks or wireless ad hoc networks has attracted a great attention in the past years. But the research in this area has primarily focused on scaling laws of arbitrary or random network instead of the exact capacity of given topologies. While the insight into how the capacity of an arbitrary or random network scales with the number of nodes in a given area is important, the exact capacity of a network depends on the network topology and can be more desirable in practice. In this paper, we compare the throughput of a large network with three possible topologies: square (rectangular), hexagonal and triangular. With a given topology, the network throughput also depends on the choice of routing protocols. We follow a synchronous array method (SAM) that is known so far to yield the highest throughout of a network on a rectangular grid

关键词： Throughput Wireless networks Network topology Mobile ad hoc networks Access protocols signal to noise ratio Capacitive sensors Wireless sensor networks Wireless mesh networks Routing protocols

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