spsmooth
Spatial smoothing
Description
computes
an averaged spatial covariance matrix, RSM
= spsmooth(R
,L
)RSM
, from
the full spatial covariance matrix, R
, using spatial
smoothing (see Van Trees [1], p. 605). Spatial smoothing
creates a smaller averaged covariance matrix over L maximum
overlapped subarrays. L is a positive integer less
than N. The resulting covariance matrix, RSM
,
has dimensions (N–L+1)-by-(N–L+1).
Spatial smoothing is useful when two or more signals are correlated.
Examples
Input Arguments
Output Arguments
References
[1] Van Trees, H.L. Optimum Array Processing. New York, NY: Wiley-Interscience, 2002.
Extended Capabilities
Version History
Introduced in R2013a
See Also
aictest
| espritdoa
| mdltest
| rootmusicdoa