In this paper, we present experimental results comparing the conventional direction-of-arrival (DOA) algorithm and the
stereausis network algorithm for the purpose of performing acoustic DOA estimation. The comparison would be focused
on robustness, complexity and aperture size. Robustness is important because the acoustic signatures can vary
significantly under different environmental conditions. Low complexity is also important because the DOA algorithm
will be used in real time and systems need to identify a target instantly. Aperture size is another important issue in target
positioning because fewer sensors could lead to small size and be located more freely. We show the DOA results of
different algorithms on a simulated signal with given SNRs (Signal to Noise Ratio) and discuss issues such as robustness
with respect to noise, computational complexity, and aperture sizes. The stereausis network algorithm could perform
well under low SNR environment. When the SNR is above -5db, the accuracy is almost not affected. The complexity of
computation of stereausis algorithm is much smaller than temporal delay algorithm because of the absence of neural
delays, which means it has no time delay units. Therefore, stereausis algorithm could resolve the direction with less time
cost compared to conventional time-delay methods so that it exhibits high real time feature. In addition, conventional
algorithms usually require complex sensors array, which means the aperture size can't be small, while the stereausis
algorithm could be implemented through only two sensors, which means a smaller aperture size.
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