| 1. |
- Gustafsson, Fredrik, et al.
(author)
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Blind Equalization by Direct Examination of the Input Sequences
- 1992
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In: Proceedings of the 1992 IEEE International Conference on Acoustics, Speech and Signal Processing. - 0780305329 ; , s. 701-704 vol.4
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Conference paper (peer-reviewed)abstract
- The authors' approach to blind equalization examines the possible input sequences directly by using a bank of filters and, in contrast to common approaches, does not try to find an approximative inverse of the channel dynamics. The identifiability question of a noise-free finite impulse response (FIR) model is investigated. A sufficient condition for the input sequence (persistently exciting of a certain order) is given which guarantees that both the channel model and the input sequence can be determined exactly in finite time. A recursive algorithm is given for a time-varying infinite impulse response (IIR) channel model with additive noise, which does not require a training sequence. The estimated sequence is an arbitrarily good approximation of the maximum a posteriori estimate. The proposed method is evaluated on a Rayleigh fading communication channel. It shows fast convergence properties and good tracking ability.
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| 2. |
- Ottersten, Björn, 1961-, et al.
(author)
-
Robust Source Localization Based on Local Array Response Modeling
- 1992
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In: Proceedings of the 1992 IEEE International Conference on Acoustics, Speech and Signal Processing. - Linköping : IEEE. - 0780305329 ; , s. 441-444 vol.2
-
Conference paper (peer-reviewed)abstract
- Many practical applications of signal processing require accurate determination of signal parameters from sensor array measurements. Most estimation techniques are sensitive to errors in the array response model. Thus, reliable array calibration schemes are of great importance. A paradigm for generating an array model from noise corrupted calibration vectors is developed. The key idea is to use a local parametric model of the sensor responses. The potential improvement using the suggested scheme is demonstrated on real data collected from a full-scale hydroacoustic array.
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| 3. |
- Stoica, Peter, et al.
(author)
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An Instrumental Variable Approach to Array Processing in Spatially Correlated Noise Fields
- 1992
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In: Proceedings of the 1992 IEEE International Conference on Acoustics, Speech and Signal Processing. - Linköping : Linköping University. - 0780305329 ; , s. 421-424 vol.2
-
Conference paper (peer-reviewed)abstract
- Signal parameter estimation from sensor array data is of great interest in a variety of applications, including radar, sonar, and radio communication. A large number of high-resolution (i.e., model-based) techniques have been suggested in the literature. The vast majority of these require knowledge of the spatial noise correlation matrix, which constitutes a significant drawback. A novel instrumental variable (IV) approach to the sensor array problem is proposed. By exploiting temporal correlatedness of the source signals, knowledge of the spatial noise covariance is not required. The asymptotic properties of the IV estimator are examined, and an optimal IV method is derived. Simulations are presented examining the properties of the IV estimators in data segments of realistic lengths.
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