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Joint estimation of DOA and time-delay in underwater localization

机译:水下定位中DOA和时延的联合估计

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Joint estimation of direction of arrival (DOA) and time-delay plays a great role in source localization, which attracts many researchers not only in the areas of radar, sonar, geological exploration but also in wireless communication. M. Wax (see IEEE Trans. on SP, vol.45, no.10, p.2477-84, 1997) applies approximate MLE with iteration algorithm, which convert a 2-D search into two or three 1-D search. A.J. van der Veen (see IEEE Trans. on SP, vol.46, no.2, p.405-18, 1998) use 2-D ESPRIT to conduct joint estimation. Both of them show good performance at a cost of large computation. Both of them require deconvolution in the frequency domain to transfer time-delay into phase. The deconvolution lends to two problems. One is blowing up noise, the other is leading to spurious peak if the emitted signal is non-minimum phase. In this paper, a simple method using 1-D ESPRIT is presented to complete joint estimation of DOA and time-delay, which requires no deconvolution. It is suitable for active underwater localization where a non-minimum phase signal is frequently employed. The method can estimate parameters of three reflectors with big difference between amplitudes as large as 12 dB. The statistical performance of new estimators and the probability of correct pairing are given by computer simulations. It shows that better performance of the new method can be achieved for multiple source localization even in low SNR.
机译:到达方向(DOA)和时延的联合估计在源定位中起着重要作用,不仅在雷达,声纳,地质勘探领域而且在无线通信领域吸引了许多研究人员。 M. Wax(请参阅IEEE Trans。on SP,第45卷,第10期,第2477-84页,1997年)将近似MLE与迭代算法结合使用,该算法将2-D搜索转换为两个或三个1-D搜索。 A.J. van der Veen(请参阅IEEE Trans。on SP,第46卷,第2期,第405-18页,1998年)使用2-D ESPRIT进行联合估计。它们都显示出良好的性能,但需要大量的计算。它们都需要在频域中进行反卷积,以将时延转换为相位。去卷积导致两个问题。如果发射的信号是非最小相位,则一个会吹起噪声,另一个会导致虚假峰值。在本文中,提出了一种使用一维ESPRIT的简单方法来完成DOA和时延的联合估计,而无需进行反卷积。它适用于频繁使用非最小相位信号的主动水下定位。该方法可以估计三个幅度最大相差12 dB的反射镜的参数。新估计量的统计性能和正确配对的概率由计算机模拟给出。结果表明,即使在低信噪比的情况下,对于多源定位也可以实现新方法的更好性能。

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