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Near field broadband acoustic source localization with observation delay compensated MUSIC algorithm

机译:观测延迟补偿MUSIC算法的近场宽带声源定位

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In this study, a novel algorithm based on the MUSIC algorithm is proposed for the localization of a broadband source in the time domain. The source is in the close range of the randomly distributed sensors. The emitter signal is arrived at the sensors with different amplitudes and phase delays, therefore the received signals at the sensors are the noisy variation of the one another. The data collected by the each sensor are provided from the observations. The measure of the similarity of two sensor data can be attained by calculating the cross correlation of that collected data in the time domain and then the time difference between these two signal can be determined. After this step, one of the sensors is chosen as the reference point and the observation time delays are compensated with reference to the chosen sensor. Finally, the emitter location is estimated efficiently by using the MUSIC algorithm. In addition, the simulation results that supported the performance of the algorithm are given in the paper.
机译:在这项研究中,提出了一种基于MUSIC算法的新颖算法,用于时域中的宽带源定位。源在随机分布的传感器的近距离内。发射器信号以不同的幅度和相位延迟到达传感器,因此在传感器处接收到的信号是彼此的噪声变化。每个传感器收集的数据均来自观察结果。可以通过在时域中计算收集到的数据的互相关来获得两个传感器数据相似性的度量,然后可以确定这两个信号之间的时间差。在此步骤之后,选择一个传感器作为参考点,并根据选择的传感器补偿观察时间延迟。最后,通过使用MUSIC算法有效地估计发射器位置。另外,给出了支持算法性能的仿真结果。

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