被动合成孔径声呐模糊函数与Cramer-Rao下界

J. Passerieux
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引用次数: 1

摘要

通过计算和绘制无源SAS在频率/方位平面上的模糊函数来确定其分辨能力。结果表明,即使在理想条件下,无源SAS的空间分辨率明显提高,也仅仅是由于处理时间较长而导致的频率分辨率提高。在其他方面,详细介绍了联合源轴承和频率估计的Cramer-Rao下限的计算。结果表明,在实际情况下,即当源频率未知时,轴承精度(标准差)不取决于自身的速度(因此取决于合成孔径的长度)。事实上,许多被提出的被动SAS算法[2,4]的真正的,也许是唯一的实际兴趣是,它们可能表现为执行相干很长时间积分的方式,从而可能允许检测弱相干窄带源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ambiguity Function and Cramer-Rao Lower Bounds for Passive Synthetic Aperture Sonar (SAS)
The resolving power of passive SAS is addressed by computing and plotting its ambiguity function in the frequency/bearing plane. It is proven that, even in ideal conditions, the apparently better spatial resolution of passive SAS is due only to the better frequency resolution which results from the longer processing time. In other respects the computation of Cramer-Rao Lower Bounds (CRLB) for joint source bearing and frequency estimation is detailed. It is shown that, in realistic situations, i.e. when the source frequency is not known, the bearing accuracy (standard deviation) does not depend upon the own speed (and hence on the length of the synthetic aperture). In fact the true, and maybe the sole, practical interest of the many proposed passive SAS algorithms [2, 4] is that they may appear as manners to perform a coherent very long time integration, thus possibly allowing detection of weak coherent narrow band sources.
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