Time-Frequency MUSIC.
A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces...
| Main Authors: | , |
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| Format: | |
| Language: | English |
| Published: |
1999
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| Online Access: | http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173765 |
| Summary: | A new method for the estimation of the signal
subspace and noise subspace based on time-frequency signal
representations is introduced. The proposed approach consists
of the joint block-diagonalization (JBD) of a set of spatial timefrequency
distribution matrices. Once the signal and noise subspaces
are estimated, any subspace based approach, including the
multiple signal classification (MUSIC) algorithm, can be applied
for direction of arrival (DOA) estimation. Performance of the
proposed time-frequency MUSIC (TF-MUSIC) for an impinging
chirp signal using three different kernels is numerically evaluated. |
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