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A performance analysis of selective diversity combining in indoor mobile radio communication environment

A performance analysis of selective diversity combining in i...

引用

IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

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

Stochastic channel characterization of indoor mobile radio communication (IMRC), is a long going research interest. Recently, with an extensive data base it has been shown that, amplitude distribution of fading signal in the IMRC channel is lognormal. Based on this model, in this paper, a performance analysis of selective diversity combining is presented. Two performance criterions: average system-output-SNR and the percentage of system-reliability are considered. The results show that, significant improvement can be obtained in the IMRC receiver performance, by using diversity combining.

关键词： Diversity reception Performance analysis Land mobile radio Mobile communication Fading Personal communication networks Scattering Diversity methods signal processing Stochastic processes

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Rejection of narrow-band interferences in PN spread spectrum systems using an eigenanalysis approach

Rejection of narrow-band interferences in PN spread spectrum...

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MILCOM, Military communications Conference

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

A new adaptive technique is suggested for rejecting narrow-band interferences in spread spectrum communications. When data is coded using a pseudo-noise code, the received signal consists of a wide-band signal with an almost white spectrum, and correlated narrow-band interference. The conventional approach to the interference suppression has been to exploit this correlation property to minimize the mean square error between predicted values of the signal and actual observations. The optimal solution is given by the Wiener filter. A different approach is suggested by the eigen-analysis of the data across the filter taps. While the energy of the spread spectrum signal is distributed across all the eigenvalues of the data correlation matrix, the energy of the interference is concentrated in a few large eigenvalues. The corresponding eigenvectors span the same signal subspace as the interference. The proposed method derives an error prediction filter with the additional constraint of orthogonality to these eigenvectors. The eigen-analysis based interference cancellation is sub-optimal for known correlation matrix, but is superior to the Wiener filter when the correlation matrix is estimated from a limited amount of data.< >

关键词： Narrowband Spread spectrum communication Bandwidth Interference suppression Wiener filter signal processing Nonlinear filters Equations Eigenvalues and eigenfunctions Gaussian noise

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The impact of correlation on delay performance of high speed networks

The impact of correlation on delay performance of high speed...

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Southeastern Symposium on System Theory

作者： Zhi Cui A.A. Nilsson Center for Communications and Signal Processing Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA

ISBN: (纸本)0818653205

This paper focuses on the impact of correlation on the delay performance of high speed networks. Markov-modulated Poisson process (MMPP), which captures both burstiness and correlation between interarrival times, is used to model packet arrival processes in high speed networks. Only one hop of a high speed network is studied since queueing networks can be approximately analyzed by decomposing the network into several separate elements. For simplicity, the authors model this one hop of the network as an MMPP/M/1 queue. The delay performance of MMPP/M/1 queue is investigated in terms of the MMPP correlation. A comparison among correlation, burstiness, and utilization impacts on delay performance is presented.< >

关键词： High-speed networks Delay Queueing analysis Traffic control Artificial intelligence signal processing Telecommunication traffic Stochastic processes Steady-state

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Convergence and stability analysis of a synchronous adaptive CDMA-based PCS receiver

Convergence and stability analysis of a synchronous adaptive...

引用

MILCOM, Military communications Conference

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

A thorough investigation on the convergence and stability of an adaptive synchronous CDMA receiver is presented. The receiver consists of a decorrelator at the first stage and an adaptive interference canceler at the second stage. By using a steepest descent algorithm to adaptively control the weights, the knowledge of the users' received powers is no longer required. It is shown that the system has good "near-far" resistance, and can approach optimum performance when the interfering users SNRs are high. Sufficient conditions for the receiver to achieve convergence are derived, and their properties are analyzed.< >

关键词： Convergence Stability analysis Personal communication networks Detectors Decorrelation Multiaccess communication Covariance matrix Interference cancellation Performance analysis Computational complexity

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Distributed memory and control VLSI architectures for the 1-D Discrete Wavelet Transform

Distributed memory and control VLSI architectures for the 1-...

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Workshop on VLSI signal processing

作者： J. Fridman E.S. Manolakos Electrical and Computer Engineering Department Communications and Digital Signal Processing (CDSP) Center Northeastern University Boston MA USA

We address the synthesis of fast, efficient and regular computational structures for the Discrete Wavelet Transform (DWT) algorithm, using linear space-time mapping and constraint driven localization techniques. Index space transformations are used to regularize the DWT algorithm and to avoid data collisions due to multiprojection. A summary of the data dependence and localization analysis is presented, as well as an array of L processing Elements (PEs) for computing any J-octave DWT decomposition with latency of M, where L is the wavelet filter length and M is the input sequence length. The latency is independent of the highest computable octave J, for any value of J, and the efficiency is nearly optimal and independent of M. The proposed design is the fastest parallel implementation of the 1-D DWT with L PEs that we know of.

关键词： Discrete wavelet transforms Distributed control Very large scale integration Continuous wavelet transforms Scheduling algorithm Filters signal synthesis signal processing algorithms Delay signal resolution

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Anchored constant modulus algorithm (ACMA) for blind equalization

Anchored constant modulus algorithm (ACMA) for blind equaliz...

引用

IEEE International Conference on communications (ICC)

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

Blind equalization is a technique of adapting an equalizer without the need of a training sequence. The constant modulus algorithm (CMA) is one of the first known blind equalization algorithms. The cost function of the CMA exhibits local minima, which are the primary cause of the ill-convergence of the CMA. Anchoring the CMA improves the performance of the CMA in terms of ill-convergence. This technique is used with the linear and the decision feedback equalizers. It is shown that the adaptive equalizer will always remove intersymbol interference (ISI) as long as the channel gain exceeds a certain critical value.< >

关键词： Blind equalizers Cost function signal processing algorithms Convergence Adaptive equalizers Intersymbol interference Data communication Decision feedback equalizers Fading Higher order statistics

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Progressive optimization of time-frequency localization in subband trees

Progressive optimization of time-frequency localization in s...

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

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

The time and frequency localizations of the product subband filter functions in tree structures are addressed and evaluated in this paper. The concept of progressive optimality is proposed as a new design approach. It is shown that the performance improvements are possible by using different PR-QMF banks at different nodes of a subband tree.< >

关键词： Time frequency analysis Filter bank Tree data structures Discrete wavelet transforms Wavelet analysis Prototypes Displays Bandwidth signal resolution Fourier transforms

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Reduced-state Viterbi equalization using state partitioning

Reduced-state Viterbi equalization using state partitioning

引用

1994 IEEE GLOBECOM. communications: communications Theory Mini-Conference Record,

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

A reduced-state sequence estimator for linear dispersive channels is described. The technique is based on partitioning the set of all possible channel states in a way that defines a trellis with fewer states resulting in reduced complexity. The outcome of the new technique results is a generalization of trellises previously obtained in Duel-Hallen and Heegard. While the approach in Duel-Hallen and Heegard results in power of two-state trellises, the new technique generates trellises with an arbitrary number of states. Therefore, the set partitioning approach described in the present paper provides a better performance/complexity tradeoff. The Viterbi algorithm (VA) is used to search for the best path through the reduced state trellis.

关键词： Viterbi algorithm Decision feedback equalizers Maximum likelihood estimation Power generation signal processing Additive noise Gaussian noise Intersymbol interference Maximum likelihood detection Error analysis

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Progressive optimality in hierarchical filter banks

Progressive optimality in hierarchical filter banks

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IEEE International Conference on Image processing

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

The concept of progressive optimization is proposed for the design of hierarchical subband transforms. The time and frequency properties of the product filters in subband trees are discussed and evaluated. It is shown that the performance improvements in image coding are possible by using different PR-QMF banks at different nodes of a subband tree.< >

关键词： Channel bank filters Filter bank Displays signal processing signal design Image coding Prototypes Time frequency analysis Design optimization Bandwidth

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Using root distribution of specific functions in signal recovery from nonuniform samples

Using root distribution of specific functions in signal reco...

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Canadian Conference on electrical and computer engineering (CCECE)

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

This article presents a new procedure for the recovery of a signal from its nonuniform samples based on the root distribution of a given function; as an example, an orthonormal sampling expansion analogue to the Shannon expansion is shown to be useful in the recovery. We also extend the concept of a "bandlimited signal" to transformed domains other than the Fourier domain.< >

关键词： signal sampling/reconstruction Functions Bandlimited signals Polynomials Transforms

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