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Abstract: With the introduction of underwater bionic camouflage covert communication, conventional communication signal recognition methods can no longer meet the needs of current underwater military confrontations. However, the research on bionic communication signal recognition is still not comprehensive. This paper takes underwater communication signals that mimic dolphin whistles through phase-shifting modulation as the research object, and proposes a recognition method based on a convolutional neural network. A time‒frequency contour (TFC) masking filtering method is designed, which uses image technology to obtain the TFC mask of whistles and extracts whistles from the obtained mask. Spatial diversity combining is used to suppress the signal fading in multipath channels. The phase derivative spectrum image is obtained by Hilbert transform and continuous wavelet transform, and is then used as the basis for recognition. Finally, the effectiveness of the proposed method is verified by simulations and lake experiments. In the simulations, a recognition accuracy of 90% is achieved at a signal-to-noise ratio (SNR) of 0 dB in multipath channels. In the real underwater communication environment, a recognition accuracy of 81% is achieved at a symbol width of 50 ms and an SNR of 6.36 dB.

一种仿海豚哨声的移相调制水下通信信号识别方法

[1]Ahn J, Lee H, Kim Y, et al., 2019. Mimicking dolphin whistles with continuously varying carrier frequency modulation for covert underwater acoustic communication. Jpn J Appl Phys, 58(SG):SGGF05.

[2]Ahn J, Lee H, Kim Y, et al., 2020. Machine learning based biomimetic underwater covert acoustic communication method using dolphin whistle contours. Sensors, 20(21):6166.

[3]Bilal M, Liu SZ, Qiao G, et al., 2020. Bionic Morse coding mimicking humpback whale song for covert underwater communication. Appl Sci, 10(1):186.

[4]Casari P, Neasham J, Gubnitsky G, et al., 2023. Acoustic projectors make covert bioacoustic chirplet signals discoverable. Sci Rep, 13(1):2591.

[5]Diamant R, Lampe L, Gamroth E, 2017. Bounds for low probability of detection for underwater acoustic communication. IEEE J Oceanic Eng, 42(1):143-155.

[6]Huang SH, Hou XG, Liu WW, et al., 2020. Mimicking ship-radiated noise with chaos signal for covert underwater acoustic communication. IEEE Access, 8:180341-180351.

[7]Iglesias V, Grajal J, Royer P, et al., 2015. Real-time low-complexity automatic modulation classifier for pulsed radar signals. IEEE Trans Aerosp Electron Syst, 51(1):108-126.

[8]Ikki SS, Ahmed MH, 2009. Performance of cooperative diversity using equal gain combining (EGC) over Nakagami-m fading channels. IEEE Trans Wirel Commun, 8(2):557-562.

[9]Jiang JJ, Wang XQ, Duan FJ, et al., 2018. Bio-inspired steganography for secure underwater acoustic communications. IEEE Commun Mag, 56(10):156-162.

[10]Jiang JJ, Wang XQ, Duan FJ, et al., 2019. Study of the relationship between pilot whale (Globicephala melas) behaviour and the ambiguity function of its sounds. Appl Acoust, 146:31-37.

[11]Jiang JJ, Sun ZB, Duan FJ, et al., 2020. Synthesis and modification of cetacean tonal sounds for underwater bionic covert detection and communication. IEEE Access, 8:119980-119994.

[12]Jiang JJ, Qiao F, Li Y, et al., 2022. Recognition method for the bionic camouflage click communication trains modulated by time delay difference. J Acoust Soc Am, 152(1):491-500.

[13]Jiang JJ, Yao ZG, Li ZC, et al., 2023. Recognition method for the bionic camouflage cetacean whistle modulated by CPMFSK signals. Appl Acoust, 207:109326.

[14]Kaveh M, Falahati A, 2021. An improved Merkle hash tree based secure scheme for bionic underwater acoustic communication. Front Inform Technol Electronic Eng, 22(7):1010-1019.

[15]Lee KG, Oh SJ, 2019. Detection of fast frequency-hopping signals using dirty template in the frequency domain. IEEE Wirel Commun Lett, 8(1):281-284.

[16]Li CY, Jiang JJ, Wang XQ, et al., 2021. Bionic covert underwater communication focusing on the overlapping of whistles and clicks generated by different cetacean individuals. Appl Acoust, 183:108279.

[17]Li Y, Huo K, Li Q, et al., 2019. A novel method of wireless power transfer identification and resonance decoupling based on frequency hopping communication. IEEE Access, 7:161201-161210.

[18]Liu F, Marcellin MW, Goodman NA, et al., 2016. Compressive sampling for detection of frequency-hopping spread spectrum signals. IEEE Trans Signal Process, 64(21):5513-5524.

[19]Liu SZ, Ma TL, Qiao G, et al., 2017. Biologically inspired covert underwater acoustic communication by mimicking dolphin whistles. Appl Acoust, 120:120-128.

[20]Martinez-Ríos EA, Bustamante-Bello R, Navarro-Tuch S, et al., 2023. Applications of the generalized Morse wavelets: a review. IEEE Access, 11:667-688.

[21]Qiao G, Zhao YJ, Liu SZ, et al., 2017. Dolphin sounds-inspired covert underwater acoustic communication and micro-modem. Sensors, 17(11):2447.

[22]Qiao G, Ma TL, Liu SZ, et al., 2021. A frequency hopping pattern inspired bionic underwater acoustic communication. Phys Commun, 46:101288.

[23]Rohilla S, Patidar DK, Soni NK, 2013. Comparative analysis of maximum ratio combining and equal gain combining diversity technique for WCDMA: a survey. Int J Eng Invent, 3(1):72-77.

[24]Schoolcraft R, 1991. Low probability of detection communications-LPD waveform design and detection techniques. MILCOM 91-Conf Record, p.832-840.

[25]Shin EJ, Chan VWS, 2002. Optical communication over the turbulent atmospheric channel using spatial diversity. Global Telecommunications Conf, p.2055-2060.

[26]Yao QW, Jiang JJ, Chen GC, et al., 2023. Recognition method for underwater imitation whistle communication signals by slope distribution. Appl Acoust, 211:109531.