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Adaptive arrays for increased performance in mobile communications

Adaptive arrays for increased performance in mobile communic...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio communications (PIMRC)

作者： X. Wu A.M. Haimovich Center for Communications and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

Adaptive antenna arrays are applied at the base station to improve performance of a mobile communication system operating in a flat slowly fading Rayleigh channel. Analytical expressions are derived for the average probability of error of the sample matrix inversion (SMI) and an eigenanalysis-based method for the case of a single co-channel interference. It is shown that the eigenanalysis-method is superior to the SMI method when the array covariance matrix is estimated from small data sets. The analysis is supported by numerical results obtained from simulations.

关键词： Adaptive arrays Mobile communication Rayleigh channels Diversity reception Antenna arrays Array signal processing Mobile antennas Costs Base stations Interchannel interference

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Maximum signal-to-noise ratio data combining for one-shot asynchronous multiuser CDMA detector

Maximum signal-to-noise ratio data combining for one-shot as...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio communications (PIMRC)

作者： Y. Bar-Ness N. Sezgin Department of Electrical and Computer Engineering Center for Communications and Signal Processing New Jersey Institute of Technology Newark NJ USA

Using a one-shot matched filter followed by a decorrelating detector, results in outputs corresponding to the main user and the left (earlier bit) and right (current bit) portion of the code of the other users. Due to reduced power, these outputs will result in a degradated probability of error. The purpose of this paper is to propose a method of combining for the data of the split code users. We suggest to use combining gain in proportion to the relative user delays. The resulting decorrelating detector always performs better than the split-output detector. Such diversity data combining eliminates the need for the multiple one-shot filters, one for each user.

关键词： signal to noise ratio Multiaccess communication Detectors Matched filters Decorrelation Delay Power control signal processing Diversity reception signal design

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Performance analysis and optimal structuring of subchannels for discrete multitone transceivers

Performance analysis and optimal structuring of subchannels ...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： A. Benyassine A.N. Akansu Department of Electrical and Computer Engineering Center for Communications and Signal Processing Research New Jersey Institute of Technology Newark NJ USA

A smart algorithm for the decomposition of a channel into its subchannel in the discrete multitone communications is proposed in this paper. This algorithm evaluates the unevenness and energy distribution of the channel spectrum in order to get a variable adaptive partitioning of the channel. It is shown that the proposed algorithm leads to a near optimum performance of the discrete multitone transceiver. This flexible and smart splitting of the channel suffers less from the aliasing problem that exists in blind decompositions using fixed transforms. This paper extends the fixed discrete multitone to the flexible unequal bandwidth multichannel concept which has significant potentials for performance improvements in high-speed digital communications.

关键词： Performance analysis Transceivers Quadrature amplitude modulation Bit rate signal processing algorithms Partitioning algorithms Bandwidth Attenuation OFDM modulation DSL

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Novel structure for asynchronous multi-user CDMA detector

Novel structure for asynchronous multi-user CDMA detector

引用

IEEE Wireless Communication System Symposium

作者： Y. Bar-Ness Department of Electrical and Computer Engineering Center for Communications and Signal Processing Research New Jersey Institute of Technology Newark NJ USA

Summary form only given, as follows. A code division multiple access (CDMA) detector that employs a combination of a decorrelator and an adaptive interference canceller was proposed previously, for a synchronous channel. For the asynchronous channel the one-shot approach was suggested. It requires a (2 K-1) dimensional decorrelator and a canceller, (K is the number of users) and must be repeated once for every user if adequate performance for all users is sought. The present paper proposes a decorrelator, data combiner, canceller, data combiner arrangement. Using maximum signal-to-noise ratio (SNR) combining at both data combining stages, we show that the resulting decorrelator canceller performs with an asynchronous channel and for the synchronous case.

关键词： Multiaccess communication Decorrelation Detectors Biomedical signal processing Interference cancellation USA Councils Adaptive signal processing Adaptive signal detection signal to noise ratio Biographies

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Mean-gain-shape vector quantization using counterpropagation networks

Mean-gain-shape vector quantization using counterpropagation...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： Jiajun Zhang M.O. Ahmad W.E. Lynch Centre for Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

A neural network for the implementation of mean-gain-shape vector quantization is proposed. Mean-gain-shape vector quantization is a product vector quantization consisting of three codebooks. A counterpropagation network (CPN) is used to perform the vector quantizations. The CPN is a combination of two well-known algorithms: the self-organization map of Kohonen and the Grossberg outstar. The proposed approach is more efficient than the conventional LBG algorithm in terms of computational complexity. Moreover, the issue of optimal bit allocations is studied through extensive experimentation and interesting results are obtained.

关键词： Vector quantization Image coding Shape Neural networks Bit rate signal processing algorithms Image analysis Performance analysis signal processing Backpropagation

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A window-sequence coding transformation suitable for computationally-efficient bit-serial implementation of stack filters

A window-sequence coding transformation suitable for computa...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： C.E. Savin M.O. Ahmad M.N.S. Swamy Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

A window-sequence coding (WSC) technique suitable for improving the computational efficiency of a bit-serial implementation of 2-D stack filters is proposed. The WSC technique takes advantage of the observation that in most images, many pixels appearing in the filter-window at a certain time-instant assume non-distinct values. An algorithm that uses the bit-serial binary-tree search (BTS) architecture for stack filtering and employs the WSC technique is developed. The proposed algorithm is designated as a modified binary-tree search (MBTS) algorithm. It is shown that the computational efficiency of MBTS algorithm for 2-D stack filtering is significantly better than the efficiency of a BTS algorithm employing a recently proposed technique called the input compression. The improvement stems from the fact that in the input compression method, the samples appearing in a filter-window of size M are always mapped to the set of integers (0, 1, ..., M-1), in spite of the fact that usually in a 2-D window, several groups of pixels assume non-distinct values.

关键词： Nonlinear filters signal processing algorithms Filtering algorithms Computational efficiency signal processing Pixel Algorithm design and analysis Maximum likelihood detection Image restoration signal restoration

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An on-line method for signal recovery from nonuniform samples using block-rearrangement

An on-line method for signal recovery from nonuniform sample...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Romero E.I. Plotkin Centre for Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

A method for the signal recovery from nonuniform samples based on the block rearrangement of the sample ensemble is presented. The proposed method belongs to the class of on-line procedures because of the use of block processing that permits a fast start without waiting for additional information. The method consists of three basic stages. In the first stage, a rearrangement of the samples takes place by which they are allocated in blocks. In the second stage, an estimate of the corresponding uniform samples is obtained. The third stage consists in the successive application of an iterative procedure that improves the preliminary estimate of the uniform samples, by correcting the values of the nonuniform samples calculated from the estimate of the uniform samples. To obtain the estimate, two different methods are used: one based on the solution of systems of linear equations, and another one based on singular value decomposition.

关键词： signal processing Differential equations Iterative methods Sampling methods Error correction Finite wordlength effects

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VLSI implementation of very-high-order FIR filters

VLSI implementation of very-high-order FIR filters

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M.A. Soderstrand K. Al-Marayati Digital Signal Processing and Communications Laboratory Department of Electrical and Computer Engineering University of California Davis USA

Very-high-order FIR filters required for the new modulation schemes associated with wireless computer networks and cellular telephones can be implemented in VLSI circuitry using low-power CMOS technology and a novel application of Residue Number System (RNS) arithmetic. Through this approach 20-bit equivalent integer arithmetic can be obtained for filters with 8 to 256 taps with only a modest increase in hardware for filters above 8 taps. Simulations indicate that this new technique can increase dramatically the number of taps implemented on a single VLSI chip when compared with an FIR filter generated using FIRGEN.

关键词： Very large scale integration Finite impulse response filter CMOS technology computer networks Cellular networks Telephony Circuits Application software Digital arithmetic Hardware

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On some intrinsic properties of the Radon transform of an SRF with application to 2-D spectrum estimation

On some intrinsic properties of the Radon transform of an SR...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： R.R. Galigekere E.I. Plotkin Centre for Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

Some important issues that arise in applications involving the Radon transform (RT) of a stationary random field (SRF), specifically 2-D spectrum estimation (SE), are brought out. An expression for the RT of an SRF is developed based on a representation of an SRF of a given power spectrum density (PSD), valid up to second order statistics. The expression is useful in relating the autocorrelation function (ACF) of the RT with the RT of the 2-D ACF, as well as in highlighting some properties of the RT associated with an SRF. Inherent windowing that is inevitable in practice, and some of its implications on 2-D SE using the RT are discussed.

关键词： Application software signal processing Statistics Computed tomography Spectral analysis Autocorrelation Image analysis Image coding Frequency Density functional theory

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A stochastic gradient-based decorrelation algorithm with applications to multicarrier CDMA

A stochastic gradient-based decorrelation algorithm with app...

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IEEE Conference on Vehicular Technology (VTC)

作者： A. Haimovich Y. Bar-Ness R. Manzo Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering Newark NJ USA Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

A stochastic gradient-based decorrelation algorithm is suggested for separation of an unknown linear mixture of signals. It is shown that while the decorrelation algorithm is similar in cost to the LMS algorithm, its rate of convergence is significantly faster, making it more attractive for signal separation. Analysis of the decorrelator algorithm shows that the faster speed of convergence is a consequence of the eigenvalue spread associated with the decorrelation problem, which is smaller than the spread associated with the corresponding mean square problem. Operation of the algorithm is illustrated as an adaptive multiuser detector in a multiple carrier CDMA system.

关键词： Stochastic processes Decorrelation Convergence Costs Least squares approximation Source separation Algorithm design and analysis Eigenvalues and eigenfunctions Detectors Multiaccess communication

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