PSR Estimator for Classification of Passive Sonar Target using Improved Scoring Function

Passive sonar is used to determine the presence of targets and identify them. Generally, the identification is based on the analysis of the mechanical structure of the target using the information from the spectrogram images. The key information for the target identification is the propeller shaft rate (PSR). The PSR estimation is conventionally based on manual approach, which is time-consuming and dependent on analysist's ability. The proposed method is based on prior work for the PSR estimation, which is automated, and improved the performance by adopting the adoptive scoring function. The simulation results show that the proposed method provides more accurate PSR estimation results.