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Communications, Radar and Signal Processing, IEE Proceedings F

Issue 3 • June 1987

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Displaying Results 1 - 16 of 16
  • Adaptive filters

    Publication Year: 1987, Page(s):209 - 210
    IEEE is not the copyright holder of this material | PDF file iconPDF (283 KB)
    Freely Available from IEEE
  • Erratum: Dyadic symmetry and Walsh matrices

    Publication Year: 1987
    IEEE is not the copyright holder of this material | PDF file iconPDF (112 KB)
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  • Erratum: Error rate performance of narrowband multilevel CPFSK signals

    Publication Year: 1987
    IEEE is not the copyright holder of this material | PDF file iconPDF (112 KB)
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  • Performance comparisons of finite linear adaptive filters

    Publication Year: 1987, Page(s):211 - 216
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (787 KB)

    The paper sets out to review the area of linear adaptive filters, restricted to the classification of finite impluse response filters. The exact solution to this problem based on the recursive least-squares algorithm is first derived. This algorithm is then degraded to show the evolution of self-orthogonalising adaptive algorithms, and further, to the stochastic gradient search algorithms. Compute... View full abstract»

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  • Near-maximum-likelihood detectors for voiceband channels

    Publication Year: 1987, Page(s):217 - 226
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1370 KB)

    The tolerances to additive white Gaussian noise of some recently developed near-maximum-likelihood detectors are compared by computer simulation, using models of two telephone circuits and an HF radio link for the transmission path. Each detector is here preceded by an adaptive allpass linear filter that is adjusted to make the sampled impulse response of the channel and filter minimum phase. For ... View full abstract»

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  • Adaptive filters in speech coding

    Publication Year: 1987, Page(s):227 - 237
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1651 KB)

    The paper presents an overview of adaptive filter techniques as applied to the digital coding of speech. Specifically, a model of the human speech production mechanism provides a basis for modelling the speech waveform, and this is exploited to provide efficient means for its digital encoding and transmission. During recent years the expected future demand for high-grade secure mobile communicatio... View full abstract»

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  • Book review: Multiple-Target Tracking with Radar Applications

    Publication Year: 1987
    IEEE is not the copyright holder of this material | PDF file iconPDF (174 KB)
    Freely Available from IEEE
  • Kalman filter techniques in adaptive filtering

    Publication Year: 1987, Page(s):239 - 243
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (639 KB)

    The application of Kalman estimation techniques to adaptive filtering problems is briefly reviewed. In particular, three common scenarios are examined in detail. The themes that link these areas are that they involve rigorous or almost rigorous application of the Kalman filter, and they can be modelled by a finite-impulse-response (FIR) filter structure. Two new nonrigorous applications of the Kal... View full abstract»

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  • Book review: Introduction to Electronic Warfare

    Publication Year: 1987
    IEEE is not the copyright holder of this material | PDF file iconPDF (164 KB)
    Freely Available from IEEE
  • Adaptive recursive filters in cascade form

    Publication Year: 1987, Page(s):245 - 252
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (970 KB)

    Least-mean-square (LMS) algorithms for adaptive infinite impulse response (IIR) filters are proposed which sequentially adjust the parameters of the feedforward and feedback paths so as to minimise the equation error. Both the feed-forward and feedback paths are implemented in cascade second-order sections. However, instead of adapting the coefficients of the second-order sections, the actual root... View full abstract»

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  • Two-dimensional adaptive prediction, smoothing and filtering

    Publication Year: 1987, Page(s):253 - 267
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (2056 KB)

    The paper describes new algorithms drawn from the field of control engineering which extend classical Weiner smoothing and prediction concepts to cover a class of two-dimensional (2-D) problems. When combined with a recursive parameter estimator, the 2-D algorithms become self-tuning in nature and provide a powerful new class of adaptive signal processing techniques. Applications include image enh... View full abstract»

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  • Adaptive airborne MTI: an auxiliary channel approach

    Publication Year: 1987, Page(s):269 - 276
    Cited by:  Papers (33)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (943 KB)

    The suppression of ground clutter returns received by an airborne radar is basically a two-dimensional filtering problem, because the clutter echoes depend on two parameters (velocity, azimuth) instead of velocity only as in case of ground-based radars. This requires two-dimensional sampling (in space and time) of the backscattered echo field, which in practice is fulfilled by a coherent pulse Dop... View full abstract»

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  • Comparison of optimum and linear prediction techniques for clutter cancellation

    Publication Year: 1987, Page(s):277 - 282
    Cited by:  Papers (12)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (562 KB)

    Two techniques for the adaptive cancellation of clutter in pulse radars are considered. The first, based on the maximisation of the signal/interference improvement, leads to an eigenvector problem; simpler suboptimal structures according to a straightforward model with a minimum number of parameters are considered. The second, based on the linear prediction of the interference, leads to a whitenin... View full abstract»

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  • Comparison between steepest descent and LMS algorithms in adaptive filters

    Publication Year: 1987, Page(s):283 - 289
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (713 KB)

    It is commonly stated that the least-mean-square (LMS) algorithm for adaptive filters is a stochastic version of the steepest descent (SD) optimisation technique, although little work on comparative studies has been reported. The present paper sets out a detailed theoretical and experimental comparison. Equations are derived for the directional variance of the estimated gradient, and these are the... View full abstract»

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  • Improved design of dual sign algorithm for adaptive identification

    Publication Year: 1987, Page(s):290 - 294
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (574 KB)

    A simplification of the well known stochastic iteration algorithm, called the dual sign algorithm (DSA), has been proposed recently for adaptive identification and similar applications. There are two key parameters that must be determined for the efficient use of the algorithm, namely the quantisation level L2 and the threshold rT. Whereas there exists a simple method for the design of these param... View full abstract»

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  • Tracking performance of a broadband tapped delay line adaptive array using the LMS algorithm

    Publication Year: 1987, Page(s):295 - 304
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1053 KB)

    The paper investigates the behaviour of a two-element broadband tapped delay line power inversion array using the LMS algorithm when it is tracking a moving jammer rotating about the array around a certain mean position. From a first-order analysis, approximate expressions for the eigenvalues, eigenvectors and the optimal weight vector are obtained. The tracking behaviour of the array is then anal... View full abstract»

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Aims & Scope

The latest version of this title is Radar, Sonar & Navigation, IET.

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