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Proceedings of the IEEE

Issue 10 • Date Oct. 1998

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Displaying Results 1 - 15 of 15
  • Introduction To "Radio Communication"

    Publication Year: 1998 , Page(s): 2090 - 2093
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    Freely Available from IEEE
  • Radio Communication

    Publication Year: 1998 , Page(s): 2094 - 2105
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  • Some Thoughts On The State Of The Technical Science In 2012 A.D.

    Publication Year: 1998 , Page(s): 2106 - 2107
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  • A Response To "Some Thoughts On The State Of The Technical Science In 2012"

    Publication Year: 1998 , Page(s): 2108 - 2110
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  • Corrections To "Traffic Performance And Mobility Modeling Of Cellular Communications With Mixed Platforms And Highly Variable Mobilities"

    Publication Year: 1998 , Page(s): 2111
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  • Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels

    Publication Year: 1998 , Page(s): 1969 - 1986
    Cited by:  Papers (262)  |  Patents (32)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (820 KB)  

    The time-varying impulse response of rapidly fading mobile communication channels is expanded over a basis of complex exponentials that arise due to Doppler effects encountered with multipath propagation. Blind methods are reviewed for estimating the bases' parameters and the model orders. Existing second-order methods are critiqued and novel algorithms are developed for blind identification, direct, zero-forcing equalization and minimum mean square error (MMSE) equalization by combining channel diversity with temporal (fractional sampling) and/or spatial diversity which becomes available with multiple receivers. Illustrative simulations are also presented View full abstract»

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  • Adaptive blind signal processing-neural network approaches

    Publication Year: 1998 , Page(s): 2026 - 2048
    Cited by:  Papers (154)  |  Patents (2)
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    Learning algorithms and underlying basic mathematical ideas are presented for the problem of adaptive blind signal processing, especially instantaneous blind separation and multichannel blind deconvolution/equalization of independent source signals. We discuss developments of adaptive learning algorithms based on the natural gradient approach and their properties concerning convergence, stability, and efficiency. Several promising schemas are proposed and reviewed in the paper. Emphasis is given to neural networks or adaptive filtering models and associated online adaptive nonlinear learning algorithms. Computer simulations illustrate the performances of the developed algorithms. Some results presented in this paper are new and are being published for the first time View full abstract»

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  • Algebraic methods for deterministic blind beamforming

    Publication Year: 1998 , Page(s): 1987 - 2008
    Cited by:  Papers (72)  |  Patents (5)
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    Deterministic blind beamforming algorithms try to separate superpositions of source signals impinging on a phased antenna array by using the deterministic properties of the signals or the channels such as their constant modulus or directions-of-arrival. Progress in this area has been abundant over the past ten years and has resulted in several powerful algorithms. Unlike optimal or adaptive methods, the algebraic methods discussed in this review act on a fixed block of data and give closed-form expressions for beamformers by focusing on algebraic structures. This typically leads to subspace estimation and generalized eigenvalue problems. After introducing a simple and widely used multipath channel model, the paper provides an anthology of properties that are available, as well as generic algorithms that exploit them View full abstract»

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  • Blind signal separation: statistical principles

    Publication Year: 1998 , Page(s): 2009 - 2025
    Cited by:  Papers (537)  |  Patents (31)
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    Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis that aim to recover unobserved signals or “sources” from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals. The weakness of the assumptions makes it a powerful approach, but it requires us to venture beyond familiar second order statistics, The objectives of this paper are to review some of the approaches that have been developed to address this problem, to illustrate how they stem from basic principles, and to show how they relate to each other View full abstract»

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  • Practical blind demodulators for high-order QAM signals

    Publication Year: 1998 , Page(s): 1907 - 1926
    Cited by:  Papers (52)  |  Patents (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (372 KB)  

    This paper examines the problem of demodulating time dispersed digitally modulated signals with particular emphasis on two aspects: the all-digital implementation of such demodulators and the use of “blind” algorithms for initializing the demodulator in the absence of explicit training by the transmitter. The factors impacting the architecture of blind demodulators are discussed, followed by a description of several practical implementations View full abstract»

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  • The application of blind channel identification techniques to prestack seismic deconvolution

    Publication Year: 1998 , Page(s): 2082 - 2089
    Cited by:  Papers (7)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (168 KB)  

    One objective of seismic signal processing is to identify the layered subsurface structure by sending seismic wavelets into the ground. This is a blind deconvolution process since the seismic wavelets are usually not measurable and therefore, the subsurface face layers are identified only by the reflected seismic signals. Conventional methods often approach this problem by making assumptions about the subsurface structures and/or the seismic wavelets. In this paper an alternative technique is presented. It applies blind channel identification methods to prestack seismic deconvolution. A unique feature of this proposed method is that no such assumptions are needed. In addition, it fits into the structure of current seismic data acquisition techniques, thus no extra cost is involved. Simulations on both synthetic and field seismic data demonstrate that it is a promising new method for seismic signal processing View full abstract»

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  • Blind adaptive interference suppression for direct-sequence CDMA

    Publication Year: 1998 , Page(s): 2049 - 2069
    Cited by:  Papers (116)  |  Patents (1)
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    Direct sequence (DS) code division multiple access (CDMA) is a promising technology for wireless environments with multiple simultaneous transmissions because of several features: asynchronous multiple access, robustness to frequency selective fading, and multipath combining. The capacity of DS-CDMA systems is interference-limited and can therefore be increased by techniques that suppress interference. In this paper, we present developments in interference suppression using blind adaptive receivers that do not receive knowledge of the signal waveforms and propagation channels of the interference, and that require a minimal amount of information about the desired signal. The framework considered generalizes naturally to include additional capabilities such as receive antenna diversity. The most powerful application of the methods described here is for linearly modulated CDMA systems with short spreading waveforms (i.e., spreading waveforms with period equal to the symbol interval), for which they provide substantial performance gains over conventional reception. Implications for future system design due to the restriction of short spreading waveforms and directions for further investigation are discussed View full abstract»

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  • Blind equalization using the constant modulus criterion: a review

    Publication Year: 1998 , Page(s): 1927 - 1950
    Cited by:  Papers (344)  |  Patents (35)
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    This paper provides a tutorial introduction to the constant modulus (CM) criterion for blind fractionally spaced equalizer (FSE) design via a (stochastic) gradient descent algorithm such as the constant modulus algorithm (CMA). The topical decisions utilized in this tutorial can be used to help catalog the emerging literature on the CM criterion and on the behavior of (stochastic) gradient descent algorithms used to minimize it View full abstract»

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  • Multichannel blind identification: from subspace to maximum likelihood methods

    Publication Year: 1998 , Page(s): 1951 - 1968
    Cited by:  Papers (208)  |  Patents (4)
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    A review of blind channel estimation algorithms is presented. From the (second-order) moment-based methods to the maximum likelihood approaches, under both statistical and deterministic signal models. We outline basic ideas behind several new developments, the assumptions and identifiability conditions required by these approaches, and the algorithm characteristics and their performance. This review serves as an introductory reference for this currently active research area View full abstract»

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  • Blind decision feedback equalization for terrestrial television receivers

    Publication Year: 1998 , Page(s): 2070 - 2081
    Cited by:  Papers (61)  |  Patents (20)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (192 KB)  

    In December 1996 the Federal Communications Commission (FCC) adopted the Grand Alliance (GA) system as the digital television broadcasting standard for the United States ending a seven-year-long search for a fully digital television standard. MPEG-2 was chosen as the video compression standard, and trellis-coded 8-vestigial sideband (VSB) with a training sequence was chosen as the transmission standard. The laboratory tests that were performed on the final two competing systems, 8-VSB with training sequence and 32-quadrature amplitude modulation (QAM) with blind equalization, showed a need for blind equalization in dynamic channels that could not be adequately handled by an equalizer training on the training sequence alone. Hence, the final GA system recommended the use of blind equalization in the receiver. In this paper, we describe the U.S. digital television transmission standard as it pertains to the equalization problem, typical transmission channel characteristics and the need for blind equalization in terrestrial television receivers View full abstract»

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H. Joel Trussell
North Carolina State University