Disguised Bionic Sonar Signal Waveform Design with Its Possible Camouflage Application Strategy for Underwater Sensor Platforms

Whistle detection and classification for whales based on convolutional neural networks

“…Compared with the existing methods presented in Section 1, the proposed method shows a better classification performance for both whale species. Moreover, although the proposed method is used here for whistle detection and classification of only killer whales and long-finned pilot whales, it is not limited to this application and can be easily adapted for other whale or dolphin species that can produce whistles or other sounds; it can also be employed to perform some preliminary work in passive acoustic observation applications for whale or dolphin species, such as range and seasonal occurrence measurement, abundance estimation, and population structure determination, together with some bio-inspired underwater detection or communication systems [32][33][34][35][36][37][38][39].…”

Synthesis and Modification of Cetacean Tonal Sounds for Underwater Bionic Covert Detection and Communication

“…However, the original cetacean sound database is usually limited, and it is difficult to find original cetacean sounds that can meet the validity requirements of covert ASD and UAC. Due to this limitation, some researchers try to build suitable bionic signal models to mimic the original cetacean sounds [12]- [16], [24], [25].…”

“…Conventional bionic signal models about tonal sounds can be mainly divided into two categories [12][13][14][15][16], [24], [25].…”

“…The second category [13]- [16], [25] is to construct the bionic signal based on basic FM signal models. Chris Capus et al proposed a bionic sonar signal model with a double down-chirp structure for bottlenose dolphin clicks [25], and obtained a high-similarity performance for bottlenose dolphin clicks with the double down-chirp structure.…”

“…Liu et al proposed to use a series of segmented LFM signals carrying digital information to mimic nonlinear frequency modulation (NFM) whistles to achieve bionic covert UAC [15]. In 2018, a bionic sonar signal model was proposed based on the HFM signal model, which realized the high similarity mimicry of false killer whale whistles and high-precision ASD [16]. Since the TF structures of these models are simple, it's difficult to achieve high-similarity imitation of cetacean sounds with complex NFM characteristics using these models.…”