The High Resolution Orientation Research of under Water Composed Array Sources in near Field via the Most Likely Estimation
Desen Yang, Huan Chen, Shengguo Shi, Di Xiao · 2010
The high resolution orientation of under water composed array sources in near field via the most likely estimation is represented in this paper. In this method, the Most Likely Estimation algorithm is applied to a single vector hydrophone and composed array which is built up by sound-pressure hydrophones. The left or right fuzzy in the noise source orientation is decreased by using the unilateral directivity of vector hydrophone. With the advancement of the sound pressure array ML in high resolution orientation, heredity algorithm is used to gain the most optimized solution of ML. In this way, the high resolution orientation of the under water source in near field is achieved. The algorithm is proved to be effective in the computer simulation