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Estimation of DOAs of Acoustic Sources in the Presence of Sensors with Uncertainties

机译:存在不确定性传感器时声源DOAs的估计

摘要

Direction of Arrival (DOA) estimation finds its practical importance in sophisticated video conferencing by audio visual means, locating underwater bodies, removing unwanted interferences from desired signals etc. Some efficient algorithms for DOA estimation are already developed by the researchers . The performance of these algorithms is limited by the fact that the receiving antenna array is affected by some uncertainties like mutual coupling, antenna gain and phase error etc. So considerable attention is there in recent research on this area. In this research work the effect of mutual coupling and the effect of antenna gain and phase error in uniform linear array (ULA) on the direction finding of acoustic sources is studied. Also this effect for different source spacing is compared. For that, estimates of the directions of arrival of all uncorrelated acoustic signals in the presence of unknown mutual coupling has been found using conventional Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT). Also DOAs are computed after knowing the coupling coefficients so that we can compare the two results. Simulation results have shown the fact that the degradation in performance of the algorithm due to mutual coupling becomes more if the sources become closer to each other. Also we have estimated DOAs in the presence of unknown sensor gain and phase errors and we have compared this results with the results we got by considering ideal array. Finally in this case also the effect of gain and phase error as the source spacing varies has been tested. Simulation results verify that performance degradation is more if the sources become closer.
机译:到达方向(DOA)估计在通过视听手段,定位水下物体,消除所需信号中的不必要干扰等复杂的视频会议中具有实际意义。研究人员已经开发了一些有效的DOA估计算法。这些算法的性能受到接收天线阵列受互不耦合,天线增益和相位误差等不确定因素影响的事实的限制。因此在这一领域的最新研究引起了人们的广泛关注。在这项研究工作中,研究了互耦的影响以及均匀线性阵列(ULA)中天线增益和相位误差对声源定向的影响。还比较了不同源间距的这种影响。为此,使用经由旋转不变技术(ESPRIT)的常规信号参数估计,已经发现了在存在未知相互耦合的情况下所有不相关声信号的到达方向的估计。此外,在知道耦合系数之后也可以计算DOA,以便我们可以比较两个结果。仿真结果表明,如果源之间彼此更近,则由于相互耦合而导致的算法性能下降会变得更加严重。同样,我们在传感器增益和相位误差未知的情况下估计了DOA,并将此结果与通过考虑理想阵列获得的结果进行了比较。最后,在这种情况下,还测试了随着源间距的变化,增益和相位误差的影响。仿真结果证明,如果信号源越来越近,性能降级会更大。

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    Patra Anurag;

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