Abstract：There were some important information about the target carried by the transient acoustic signal. But the transient acoustic signal underwater often breaks out abruptly and only last for a few periods, so it is difficult to be detected. In order to detect the underwater transient acoustic signal, the RBF neural network detection method under the chaotic background was put forward. Due to the characters of RBF network and chaotic system, a one-step predicting model was set up. The simulation experiment was carried out based on both Lorenz system and Logistic system, and white noise was also put into the chaos background to validate the detecting ability of this method. The method was proved to be sensitive to the white noise. Based on the research of the theory, several data gained from the experiment on the lake were processed to prove the validity of the method presented above. The data measured in the experiment was add to a sect of stronger chaos background noise to research the performance of the detection method under different SNR
杨德森;肖笛;张揽月. 水下混沌背景中的瞬态声信号检测法研究[J]. , 2013, 32(10): 26-30.
YANG Desen;XIAO Di;ZHANG Lanyue. The Detection of Underwater Transient Acoustic Signal Under Chaotic Background. , 2013, 32(10): 26-30.
2013, Vol. 32 
