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We evaluate the proposed circuit and compare it with a circuit based on the conditional sum structure.
Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different horizon lengths.
We show that the proposed architectures performs faster by 30% or more than the circuit based on the conditional sum structure.
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Although the orthogonal decomposition of the IO tables has so far been considered using a marginal sum and kernel structure matrix, IO tables can also be reconstructed by combining various marginal sums and kernel structure matrices.
We believe the single-pass weighted-sum structure of the CAWF method is conceptually simple and versatile.
Finally, (K−1)M complex-valued additions are needed by the overlap-and-sum structure in Equation 25.
The most popular methods for broadband beamforming for microphone arrays are based on the well-known filter-and-sum structure [2].
b Side view of the array response Fig. 3 Array response of the non-steerable LS design based on the conventional filter-and-sum structure without microphone mismatches.
For comparison, the array response of the well-known least-squares (LS) design based on the conventional filter-and-sum structure [3] is also shown in Fig. 3, with the same number of microphones as for the FSBB.
Note that the LS design based on the filter-and-sum structure is non-steerable; therefore, its passband has to cover the whole direction range of interest where sound source may be present, i.e., [40°,140°].
Besides the aforementioned robustness problem of the FSBB in the presence of microphone mismatches, another problem with the FSBB is that its computational complexity is particularly demanding in contrast with its counterpart based on filter-and-sum structure, which is the price it has paid for the passband steerability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com