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IEE Proceedings F - Radar and Signal Processing

Issue 4 • Date Aug. 1991

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Displaying Results 1 - 11 of 11
  • Common formalism for adaptive identification in signal processing and control

    Publication Year: 1991, Page(s):295 - 307
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1039 KB)

    The transversal and recursive approaches to adaptive identification are compared. ARMA modelling in signal processing, and identification in the indirect approach to control are developed in parallel. Adaptivity succeeds because the estimate is a linear function of the variable parameters for transversal identification. Control and signal processing can be imbedded in a unified well-established fo... View full abstract»

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  • Gradient-based adaptive algorithms for systems with external feedback paths

    Publication Year: 1991, Page(s):308 - 312
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (438 KB)

    The effect on error surface gradient of feedback from output to input of an adaptive filter in a system identification configuration is explored. This feedback can occur in any application of adaptive filters in which the output of the filter is radiated in some way so that it may leak back into the filter input. One example where this can happen is in the active control of acoustic noise, where i... View full abstract»

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  • Effect of errors in the plant model on the performance of algorithms for adaptive feedforward control

    Publication Year: 1991, Page(s):313 - 319
    Cited by:  Papers (22)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (534 KB)

    The paper presents an investigation into the effects of errors in the assumed plant model on the performance of both single and multichannel adaptive algorithms for the active control of sound and vibration. In the single-channel case the effects of phase errors on the maximum update coefficient and convergence time of the filtered-x LMS algorithm are considered. This involves both analytic result... View full abstract»

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  • Analysis of a first order complex recursive LMS adaptive predictor

    Publication Year: 1991, Page(s):321 - 330
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (729 KB)

    The statistical behaviour of a first order complex LMS adaptive predictor for recovering or cancelling a complex narrowband sine wave in additive white noise is studied. The properties of the optimum complex scalar predictor weights are investigated. A coupled set of dynamical nonlinear difference equations is derived for the mean values of the two complex weights, one pole and one zero, the MSE a... View full abstract»

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  • Stochastic learning automata and adaptive IIR filters

    Publication Year: 1991, Page(s):331 - 340
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (985 KB)

    It is well known that gradient search fails in adaptive IIR filters because their error surfaces may be multimodal. A new learning approach is presented to overcome the problem. Instead of applying conventional deterministic methods to optimise the filter coefficients, intelligent learning techniques are used. Specifically stochastic learning automata are considered. They have a well established m... View full abstract»

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  • Computationally efficient QR decomposition approach to least squares adaptive filtering

    Publication Year: 1991, Page(s):341 - 353
    Cited by:  Papers (34)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1106 KB)

    The least squares lattice algorithm for adaptive filtering based on the technique of QR decomposition (QRD) is derived from first principles. In common with other lattice algorithms for adaptive filtering, this algorithm only requires O(p) operations for the solution of a pth order problem. The algorithm has as its root the QRD-based recursive least squares minimisation algorithm and hence is expe... View full abstract»

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  • Steady-state superiority of LMS over LS for time-varying line enhancer in noisy environment

    Publication Year: 1991, Page(s):354 - 360
    Cited by:  Papers (19)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (576 KB)

    Line enhancement uses linear prediction to recover a narrowband line embedded in noise. If the line has a frequency drift, an adaptive predictor can track it. The theoretical steady-state tracking performances of the LS and LMS updating algorithms have been analytically investigated in two previous papers. The condition of 'slow adaptation', which is assumed in the literature, is interpreted in th... View full abstract»

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  • Convergence behaviour of a jointly adaptive transversal and memory-based echo canceller

    Publication Year: 1991, Page(s):361 - 370
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (843 KB)

    A convergence analysis of a jointly adaptive transversal and memory-based or nonlinear echo canceller is presented. The coefficients of the transversal echo canceller (TEC) and the memory echo canceller (MEC) are updated simultaneously using the well-known least mean square (LMS) algorithm with separate adaptation constants and a common cancellation error. The amount of linear echo cancellation lo... View full abstract»

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  • Least sum of squared errors (LSSE) channel estimation

    Publication Year: 1991, Page(s):371 - 378
    Cited by:  Papers (109)  |  Patents (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (644 KB)

    A least sum of squared errors (LSSE) channel estimation algorithm is presented for estimating a channel impulse response from a known training sequence. Optimum training sequences are found and tabulated for different channel responses and training sequence lengths. The effect of channel estimation errors on the performance of some data detectors is also investigated. A simple approximation for th... View full abstract»

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  • Fast constant modulus adaptive algorithm

    Publication Year: 1991, Page(s):379 - 387
    Cited by:  Papers (6)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (668 KB)

    An exact block formulation of the constant modulus algorithm (CMA) is presented, in which a reduction of arithmetic complexity is achieved. Two types of fast algorithms are explained, either in time-domain or in frequency-domain. The first one is of greater interest for small block lengths and the second one, using the FFT as an intermediate step, has greater advantage for large blocks. Due to the... View full abstract»

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  • Adaptive equalisation via Kalman filtering techniques

    Publication Year: 1991, Page(s):388 - 396
    Cited by:  Papers (8)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (657 KB)

    The arithmetic complexity and the mean squared error (MSE) performance of three adaptive equaliser structures are compared. The first is a conventional decision feedback equaliser (DFE) which utilises a Godard-Kalman adaptive algorithm to carry out the tap weight update. The second is an adaptive Kalman equaliser which utilises a least mean squares (LMS) algorithm to carry out the channel estimati... View full abstract»

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Aims & Scope

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

Full Aims & Scope