# Communications, Radar and Signal Processing, IEE Proceedings F

## Filter Results

Displaying Results 1 - 16 of 16
• ### Spectral analysis

Publication Year: 1983, Page(s):193 - 194
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• ### Efficient algorithm for ARMA spectral estimation

Publication Year: 1983, Page(s):195 - 201
Cited by:  Papers (3)
| |PDF (775 KB)

An ARMA spectral estimation technique based on the modified Yule-Walker equations is presented. Several recursive lattice algorithms are proposed for estimating the AR and MA spectral parameters. These computationally efficient algorithms provide spectral estimates of different orders. The choice of the AR model order and its effect on the quality of the spectral estimates are briefly discussed. View full abstract»

• ### Singular-value decomposition approach to time series modelling

Publication Year: 1983, Page(s):202 - 210
Cited by:  Papers (19)
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In various signal processing applications, as exemplified by spectral analysis, deconvolution and adaptive filtering, the parameters of a linear recursive model are to be selected so that the model is most¿¿ representative of a given set of time series observations. For many of these applications, the parameters are known to satisfy a theoretical recursive relationship involving the time series' ... View full abstract»

• ### Statistical efficiency of correlation-based methods for ARMA spectral estimation

Publication Year: 1983, Page(s):211 - 217
Cited by:  Papers (3)
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The paper considers bounds on the statistical efficiency of the estimators of the poles and zeros of an ARMA process based on estimates of the process autocorrelation function. Special attention is paid to autoregressive and autoregressive plus white noise processes. A measure of the statistical variability of the estimates is introduced as the ratio of the Cramer-Rao bounds on the generalised var... View full abstract»

• ### Experimental comparison of three multichannel linear prediction spectral estimators

Publication Year: 1983, Page(s):218 - 229
Cited by:  Papers (18)
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Single-channel spectral estimators based on linear prediction techniques, such as the maximum-entropy method, have been shown to often provide better spectral stability and resolution than standard FFT procedures for short data sequences. Based on this improved performance, a multitude of multichannel linear prediction techniques have been promoted for processing multichannel data sequences. Three... View full abstract»

• ### Duality for multidimensional MEM spectral analysis

Publication Year: 1983, Page(s):230 - 235
Cited by:  Papers (5)
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The solution to the general multidimensional MEM spectral estimation problem is described. A detailed derivation of the dual optimisation problem, in which entropy is minimised, is given. A necessary and sufficient condition for the existence of a solution to the general problem is presented. The theory is also extended to a correlation-approximating¿¿ MEM spectral estimate. Algorithms applicable... View full abstract»

• ### Unifying approach to spectral estimation

Publication Year: 1983, Page(s):236 - 238
Cited by:  Papers (2)
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The paper presents a unified conceptual derivation of some spectral estimation methods, including the maximum-entropy method and the classical window method. Two reasonable requirements provide the starting point, leading to various mathematical formulations. A data-dependent window method is derived from one of them, and an objective criterion for the selection of the free parameters of the windo... View full abstract»

• ### Analysis of a generalised framework for spectral estimation. Part 1: The technique and its mean value

Publication Year: 1983, Page(s):239 - 241
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The paper presents a generalised framework for spectral estimation. Included in the framework are the classical Blackman-Tukey and widely used weighted overlapped segment averaging methods. An analysis and discussion of the mean value of the spectral estimate is provided here. Part 2 of the paper presents results on the variance of the technique. View full abstract»

• ### Analysis of a generalised framework for spectral estimation. Part 2: Reshaping and variance results

Publication Year: 1983, Page(s):242 - 245
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The capabilities of lag reshaping for the generalised spectral estimation technique, in order to realise desirable effective windows, is illustrated for several combinations of temporal and lag weightings. Also the variance of the spectral estimate is presented and computed for some windows with very good sidelobe behaviour. It is found that, with proper overlap, if the length of the temporal weig... View full abstract»

• ### Spectral estimation using an adaptive oscillator

Publication Year: 1983, Page(s):246 - 249
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The paper presents experimental results and comments relating to an adaptive oscillator structure proposed recently by Griffiths. A possible lattice structure for the new adaptive filter is also given. View full abstract»

• ### New algorithm for spectrum estimation and an associated VLSI design

Publication Year: 1983, Page(s):250 - 255
Cited by:  Papers (3)
| |PDF (600 KB)

By treating the reflection coefficients as independent variables, a new recursive algorithm is introduced which results in a lower prediction error and stable filters. Its performance is evaluated using sine waves in noise and pulse Doppler radar data, and is found to be substantially better than those of Burg's algorithm, Makhoul's covariance-lattice method and Marple's least-squares algorithm. T... View full abstract»

• ### Remarks on the statistical behaviour of orthogonal beamforming

Publication Year: 1983, Page(s):256 - 260
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Orthogonal beamforming is the name given to certain high-resolution methods for estimating the spectra of a wave field received by an array of sensors. These methods use the eigenvalues and eigenvectors of the spectral matrix of the sensor outputs. The problem is to predict the behaviour of such methods when only an estimate of the matrix is known. The sensor outputs may consist of sensor noise, a... View full abstract»

• ### Power estimation for an array of sensors and its use in broadband detection

Publication Year: 1983, Page(s):261 - 266
| |PDF (690 KB)

A power estimation technique is presented which is suitable for broadband detection of signals reaching a passive array of sensors. It is demonstrated that the technique provides a fixed beam pattern for all steering directions at low frequencies and that this may be used by an operator to aid detection. The effectiveness of the technique is demonstrated by comparison with two alternative approach... View full abstract»

Publication Year: 1983, Page(s):267 - 271
Cited by:  Papers (1)
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The interference direction frequency response and cancellation capability of a broadband tapped delay line adaptive array are discussed. The frequency response is found to be an entire function in the s-plane, but the hypothesis is advanced that, for a given total time delay and number of degrees of freedom, it approximates to the rational frequency response function of a single uniformly tapped d... View full abstract»

• ### Time delay estimation with receivers of approximately known phase difference characteristics

Publication Year: 1983, Page(s):272 - 278
| |PDF (679 KB)

The problem of measuring the time delay (or difference in arrival times) of a signal emanating from a source and received at two separate locations is considered. Most existing techniques of time delay estimation assume identical receivers. The phase of the cross-spectrum between the receivers' outputs is then directly proportional to frequency, with the time delay as the proportionality constant.... View full abstract»

• ### Spatial lattice filter for high-resolution spectral analysis of array data

Publication Year: 1983, Page(s):279 - 287
| |PDF (968 KB)

In the analysis of time/frequency domain signals, lattice filters have proved popular, providing significant advantages over conventional tapped delay line digital filters. Improvements in adaptation times and model order identification have been observed, and the modular structure of these filters allows a straightforward VLSI hardware implementation. In the paper, a lattice-structured spatial fi... View full abstract»