基于稳健Capon波束形成的阵形校正
A new array shape calibration method based on robust capon beamforming
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摘要: 由于受地形、海流和布放方法等的影响,声阵在布放后通常会偏离原定阵形。若直接利用原定阵形作方位估计,则各种高分辨方位估计算法的性能通常会退化甚至失效。因此,为了在实际中应用这些算法,必须对阵元的位置进行校正。RCB(Robust Capon Beamforming)是最近提出的一种稳健自适应波束形成算法,该算法直接对导向矢量进行估计,并用估计的导向矢量作波束形成,从而有效避免了因阵列流形失配而导致的算法性能下降。借用RCB的思想,提出一种新的阵形校正方法,该方法对导向矢量进行估计,然后用估计的导向矢量推导出阵元的位置。湖试结果表明了该校正方法的有效性。Abstract: Direction finding is one of the central tasks of sonar. It is well known that most of the high-resolution algorithms have good performance provided that the positions of hydrophones are accurately known. The array shape usually departs from the planned original due to various reasons such as complicated terrain at seabed,ocean current,and even the method of deployment. If we still use the planed shape,performance of these high resolution algorithms will degrade severely. Therefore,before applying these al-gorithms to reality,we must have the array shape calibrated. Robust Capon beamforming (RCB) is a rec-ently proposed robust adaptive beamforming algorithm. It directly estimates the steering vector based on a steering vector uncertainty region,thus avoiding suppression of the signal of interest due to steering vector mismatch. In this paper,we propose a new array shape calibration method that borrows the idea from RCB,i.e.,we estimate the steering vector and further deduce the positions of hydrophones. Results of lake ex-periment show effectiveness of the proposed method.
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