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A Barankin-Type Bound on Direction Estimation Using Acoustic Sensor Arrays

机译:使用声传感器阵列的方向估计的Barankin型边界

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摘要

We derive a Barankin-type bound (BTB) on the mean-square error (MSE) in estimating the directions of arrival (DOAs) of far-field sources using acoustic sensor arrays. We consider narrowband and wideband deterministic source signals, and scalar or vector sensors. Our results provide an approximation to the threshold of the signal-to-noise ratio (SNR) below which the performance of the maximum likelihood estimation (MLE) degrades rapidly. For narrowband DOA estimation using uniform linear vector-sensor arrays, we show that this threshold increases with the distance between the sensors. As a result, for medium SNR values the performance does not necessarily improve with this distance.
机译:我们在使用声传感器阵列估算远场源的到达方向(DOA)时,得出均方误差(MSE)的Barankin型边界(BTB)。我们考虑窄带和宽带确定性源信号,以及标量或矢量传感器。我们的结果提供了信噪比(SNR)阈值的近似值,低于该阈值时,最大似然估计(MLE)的性能会迅速下降。对于使用均匀线性矢量传感器阵列的窄带DOA估计,我们表明此阈值随传感器之间的距离而增加。结果,对于中等SNR值,性能不一定会随着该距离而提高。

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