Mr. Yaoliang Zhang Profile

Yaoliang Zhang

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Proceedings Article | 30 October 2009 Paper

Performance comparison between conventional direction-of-arrival algorithm and stereausis network based on cochlea model

Yaoliang Zhang, Li Yin, Wei Liu

Proceedings Volume 7495, 74951P (2009) https://doi.org/10.1117/12.832863

KEYWORDS: Detection and tracking algorithms, Signal to noise ratio, Sensors, Computer simulations, Phase shifts, Acoustics, Target detection, Performance modeling, Bandpass filters, Interference (communication)

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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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