Source classification using pole method of AR model

An easy and efficient method to classify the underwater sources for passive sonar by extracting the poles of the AR model as the feature of source emitted noise is proposed. Our research demonstrates that the poles of the AR model can represent the intrinsic spectral characteristic of the sources, and a simple statistical classifiers can be used to obtain excellent recognition performance due to the good cluster property and robustness of the poles corresponding to the different sources. It is more important that the poles of the low order AR model can represent the basic feature of the source, thus the computation burden will be reduced significantly. Real data are processed and classification results show the efficiency even for short data records