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Delay-and-sum beamforming for direction of arrival estimation applied to gunshot acoustics

机译:延迟和求和波束形成的到达方向估计应用于枪声

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Sniper positioning systems described in the literature use a two-step algorithm to estimate the sniper's location. First, the shockwave and the muzzle blast acoustic signatures must be detected and recognized, followed by an estimation of their respective direction-of-arrival (DOA). Second, the actual sniper's position is calculated based on the estimated DOA via an iterative algorithm that varies from system to system. The overall performance of such a system, however, is highly compromised when the first step is not carried out successfully. Currently available systems rely on a simple calculation of differences of time-of-arrival to estimate angles-of-arrival. This approach, however, lacks robustness by not taking full advantage of the array of sensors. This paper shows how the delay-and-sum beamforming technique can be applied to estimate the DOA for both the shockwave and the muzzle blast. The method has the twofold advantage of 1) adding an array gain of 10 logM, i.e., an increased SNR of 6 dB for a 4-microphone array, which is equivalent to doubling the detection range assuming free-field propagation; and 2) offering improved robustness in handling single- and multi-shots events as well as reflections by taking advantage of the spatial filtering capability
机译:文献中描述的狙击手定位系统使用两步算法来估计狙击手的位置。首先,必须检测并识别冲击波和枪口爆炸声特征,然后估计它们各自的到达方向(DOA)。其次,实际的狙击手位置是根据估计的DOA通过迭代算法计算的,迭代算法因系统而异。但是,如果第一步没有成功执行,则该系统的整体性能会受到很大影响。当前可用的系统依赖于到达时间差的简单计算来估计到达角度。然而,这种方法由于没有充分利用传感器阵列而缺乏鲁棒性。本文说明了延迟和求和波束形成技术如何可用于估计冲击波和炮口爆炸的DOA。该方法具有双重优势:1)增加了10 logM的阵列增益,即对于4麦克风阵列增加了6 dB的SNR,这相当于在假设自由场传播的情况下将检测范围加倍;和2)通过利用空间滤波功能,在处理单次和多次拍摄事件以及反射时提供更高的鲁棒性

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