Difference between revisions of "Array signal processing"
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=== Modified Spatial Autocorrelation method (MSPAC) === | === Modified Spatial Autocorrelation method (MSPAC) === | ||
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| + | The Modified Spatial Autocorrelation (MSPAC) was introduced by Bettig et al. (2001) [1] after pioneer paper of Aki (1957)[2]. This method allows computing spatial autocorrelation coefficients for any arbitary array configurations. | ||
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| + | BLA BLA BLA | ||
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| + | The co-array is defined as the set of all possible combinations of two array sensors (Haubrich, 1968 [4]): the array can thus be divided into several semicircular sub-arrays (hereafter called rings) as described in Bettig et al. (2001) [1]. Since, for each ring, an azimuthal and radial integration is performed when computing spatial autocorrelation values, the design of rings results from a compromise between a number of sensors pair per ring as large as possible and a ring thickness as small as possible. | ||
Revision as of 08:06, 10 March 2010
Contents
Array signal processing
Basic principle of array processing - delay and sum / shift and sum
Array response function
Frequency wavenumber power spectrum
Modified Spatial Autocorrelation method (MSPAC)
The Modified Spatial Autocorrelation (MSPAC) was introduced by Bettig et al. (2001) [1] after pioneer paper of Aki (1957)[2]. This method allows computing spatial autocorrelation coefficients for any arbitary array configurations.
BLA BLA BLA
The co-array is defined as the set of all possible combinations of two array sensors (Haubrich, 1968 [4]): the array can thus be divided into several semicircular sub-arrays (hereafter called rings) as described in Bettig et al. (2001) [1]. Since, for each ring, an azimuthal and radial integration is performed when computing spatial autocorrelation values, the design of rings results from a compromise between a number of sensors pair per ring as large as possible and a ring thickness as small as possible.
