Wang Qi, Wang Yingmin, Zhu Guolei
School of Marine Science and Technology, Northwestern Polytechinal University, Xi'an 710072, China.
Sensors (Basel). 2016 Dec 30;17(1):71. doi: 10.3390/s17010071.
The receiver hydrophone array is the signal front-end and plays an important role in matched field processing, which usually covers the whole water column from the sea surface to the bottom. Such a large aperture array is very difficult to realize. To solve this problem, an approach called matched field processing based on least squares with a small aperture hydrophone array is proposed, which decomposes the received acoustic fields into depth function matrix and amplitudes of the normal modes at the beginning. Then all the mode amplitudes are estimated using the least squares in the sense of minimum norm, and the amplitudes estimated are used to recalculate the received acoustic fields of the small aperture array, which means the recalculated ones contain more environmental information. In the end, lots of numerical experiments with three small aperture arrays are processed in the classical shallow water, and the performance of matched field passive localization is evaluated. The results show that the proposed method can make the recalculated fields contain more acoustic information of the source, and the performance of matched field passive localization with small aperture array is improved, so the proposed algorithm is proved to be effective.
接收水听器阵列是信号前端，在匹配场处理中起着重要作用，匹配场处理通常覆盖从海面到海底的整个水柱。如此大孔径的阵列很难实现。为了解决这个问题，提出了一种基于最小二乘法的小孔径水听器阵列匹配场处理方法，该方法首先将接收的声场分解为深度函数矩阵和简正模的幅度。然后在最小范数意义下使用最小二乘法估计所有模式幅度，并将估计出的幅度用于重新计算小孔径阵列的接收声场，这意味着重新计算的声场包含更多环境信息。最后，在经典浅水中对三个小孔径阵列进行了大量数值实验，并对匹配场被动定位性能进行了评估。结果表明，该方法能使重新计算的声场包含更多源的声学信息，提高了小孔径阵列匹配场被动定位性能，证明了该算法是有效的。
