Acoustic targets feature extraction method based on manifold learning

A new method for feature extraction of acoustic targets based on manifold learning is proposed. The new method overcomes the shortcomings of the original manifold learning algorithm by minimising the impact of noise on the manifold and makes full use of the classification information to extract the intrinsic features of acoustic targets, thus improving the accuracy of acoustic targets recognition. Results of experiments suggest the proposed method is efficient and feasible.