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Multidimensional parameter pairing is obtained automatically by this algorithm, which can avoid the performance degradation resulting from wrong pairing.
In addition, for the ESPRIT-based algorithm, an additional multidimensional parameter pairing for multiple targets is needed.
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The proposed algorithm can avoid multidimensional search and parameter pairing.
The proposed algorithm can localize mixed sources without parameter pairing and multidimensional search.
It had low computational cost because it avoided multidimensional search and did not require parameter pairing procedure.
It can avoid the parameter pairing problem and complex multidimensional search.
Multidimensional parameters can be automatically paired by this algorithm to avoid the performance degradation resulting from wrong pairing.
This approach is especially helpful in multidimensional parameter spaces.
There are two possible multidimensional parameter extensions of the fBm.
There are two possible multidimensional parameter extensions of the subfractional Brownian motion.
For a multidimensional parameter β, it is true in the following example.
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