利用多径差分时延和差分多普勒频移进行被动目标运动分析

P. Blanc-Benon, G. Bienvenu
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引用次数: 8

摘要

目标运动分析(TMA)是被动声纳的一项基本功能,通常只使用轴承或使用轴承和频率测量。但是,考虑到目标范围,由于使用的阵列的孔径实际上可以忽略不计,即使平台自行移动以产生“合成阵列”,经典的TMA方法也需要几分钟才能给出可接受的解决方案。因此,本文提出了一种利用方位和多径参数:差分时延及其多普勒频移的增强型TMA估计器。研究了两种声音传播情况下的Cramer-Rao下界:匀速分布和双线性分布。它们都具有较短的时间来获得给定精度的目标参数(其范围、深度和速度矢量)方面的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive target motion analysis using multipath differential time-delay and differential Doppler shifts
Target motion analysis (TMA) is a basic function in passive sonar, generally using bearings only or bearings and frequency measurements. But due to the use of arrays whose aperture are practically negligible considering the target range, and even if the platform moves itself to yield a "synthetic array", the classical TMA methods take minutes to give an acceptable solution. Hence, this paper presents an enhanced TMA estimator using jointly the bearings and multipath parameters: the differential time-delays and their Doppler shifts. The Cramer-Rao lower bounds are studied for two cases of sound propagation: a constant celerity profile and a bilinear one. They both exhibit advantages in terms of a shorter time to get a given precision of the target parameters: its range, depth, and speed vector.
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