语音信号的混沌遮掩及其正定盲提取算法

doi:10.11959/j.issn.1000-436x.2016171

摘要/Abstract

摘要：

利用小波变换提取语音信号的能量聚集带，将其隐藏在混沌载体信号中进行传输，设计一种盲提取算法实现不同混沌动力学系统下语音信号的有效提取。以3种不同维数的混沌动力学系统为背景，仿真实验定性和定量地分析了所提出算法的性能，验证了噪声环境下算法的可靠性，证明盲提取算法可作为对混沌保密通信系统保密性验证的有效方法。

关键词: 小波变换, 语音信号, FastICA算法, 混沌系统

Abstract:

The wavelet transform was used to extract energy accumulation zone of speech signal hidden in the chaotic carrier signal for transmission,and a blind extraction algorithm was designed to achieve speech signal extraction under different chaotic dynamical systems.Using three different dimensions of the chaotic dynamic system as the background,simulation experiment analysed the performance of the proposed algorithm in aqualitative and quantitative ways,and verified the algorithm's reliability under the noise environment that prove the blind extraction algorithm can be used as an effective method of security verification of chaotic secure communication system.

Key words: wavelet transform, speech signal, FastICA algorithm, chaotic system

王尔馥,郑远硕,陈新武,刘晓珍. 语音信号的混沌遮掩及其正定盲提取算法[J]. 通信学报, 2016, 37(8): 191-198.

Er-fu WANG,Yuan-shuo ZHENG,Xin-wu CHEN,Xiao-zhen LIU. Chaotic hiding and its positive definite blind extraction algorithm of speech signal[J]. Journal on Communications, 2016, 37(8): 191-198.

图/表 20

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

表1

图11

图12

图13

表2

图14

图15

图16

表3

表4

参考文献 13

[1]	陈铁明，葛亮 . 面向无线传感器网络的混沌加密与消息鉴别算法[J]. 通信学报， 2013，05:113-120. CHEN T M , GE L . Chaos-based encryption and message authentica-tion algorithm for wireless sensor networks[J]. Journal on Communi-cations, 2013,05:113-120.
[2]	王尔馥，王冬青，丁群 . 混沌保密通信系统中谐波信号提取的时—频域联合新方法[J]. 通信学报， 2011，12:60-64. WANG E F , WANG D Q , DING Q . New time-frequency method of harmonic signal extraction in chaotic secure communication system[J]. Journal on Communications, 2011,12:60-64.
[3]	贾红艳，陶倩，陈增强 , 等. 分数阶Chen系统的分析、同步及其保密通信实现[J]. 天津科技大学学报， 2015，30(6):66-71. JIA H Y , TAO Q , CHEN Z Q , et al. The analysis,synchronization and secure communication of fractional order Chen systems[J]. Journal of Tianjin University of Science ＆ Technology, 2015,30(6):66-71.
[4]	HAYKIN S , LI X B . Detection of signals in chaos[J]. Proceedings of the IEEE, 1995,83(1): 95-122.
[5]	ARAKI S , SAWADA H , MUKAI R . Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors[J]. Signal Process, 2007,87: 1833-1847.
[6]	VINCENT E . Musical source separation using time-frequency source priors[J]. Signal Process, 2005: 1-8.
[7]	成谢锋，徐亮，严仍义 . 混沌混合信号欠定盲分离方法的研究[J]. 南京邮电大学学报， 2011，30(1):29-34. CHEN X F , XU L , YAN R Y . The research of underdetermined blind source separation methods of Chaos of mixed signal[J]. Journal of Nanjing University of Posts and Telecommunications, 2011,30(1):29-34.
[8]	孟宗，马钊，刘东 , 等. 混沌混合信号欠定盲分离方法的研究[J]. 中国机械工程， 2016，27(3):45-50. MENG Z , MA Z , LIU D , et al. The research of underdetermined blind source separation methods of Chaos of mixed signal[J]. Journal of Nanjing University of Posts and Telecommunications, 2016,27(3):45-50.
[9]	LIN Q H , YIN F L , MEI T M , et al. A blind source separation based method speech encryption[J]. IEEE Transaction on Circutis and Sys-tems I:Fundanmental Theory and Applications, 2006,53(6): 1320-1328.
[10]	贺锋涛，张敏，白可 , 等. 基于激光散斑和 Henon 映射的图像加密方法[J]. 红外与激光工程， 2016，04:275-279. HE F T , ZHANG M , BAI K , et al. Image encryption method based on laser speckle and Henon mapping[J]. Infrared and Laser Engineering, 2016,04:275-279.
[11]	CHEN G R , UETA T . Yet another chaotic attractor[J]. International Journal of Bifurcation ＆ Chaos, 1999,9(7): 1465-1466.
[12]	QI G Y , DU S Z , CHEN G R , et al. On a four-dimensional chaotic system[J]. Chaos,Solitons ＆ Fractals, 2005,23(5): 1671-1682.
[13]	严蔚敏，吴伟民 . 数据结构(C语言版)[M]. 北京: 清华大学出版社, 2011. YAN W M , WU W M . Data structure(C language version)[M]. Beijing: Tsinghua University Press, 2011.

信噪比/dB	语音SA₁	语音SA₂	Henon混沌系统
29	0.910 1	0.897 0	0.997 7
30	0.927 1	0.916 1	0.998 3
31	0.935 8	0.932 1	0.998 4
32	0.948 4	0.944 1	0.998 8
33	0.959 8	0.954 4	0.999 2
34	0.966 3	0.963 6	0.999 1
35	0.973 8	0.970 5	0.999 3

信噪比/dB	语音SA₁	语音SA₂	Chen混沌系统
29	0.905 4	0.901 9	0.999 8
30	0.923 4	0.916 8	0.998 3
31	0.935 8	0.931 2	0.998 5
32	0.948 1	0.946 6	0.999 8
33	0.957 3	0.955 0	0.999 9
34	0.963 5	0.964 0	0.998 7
35	0.972 7	0.971 0	0.998 3

信噪比/dB	语音SA₁	语音SA₂	Qi混沌系统
29	0.894 3	0.893 0	0.998 8
30	0.909 4	0.919 3	0.999 5
31	0.926 6	0.930 2	0.999 6
32	0.938 9	0.943 8	0.999 8
33	0.953 1	0.951 4	0.999 2
34	0.959 4	0.962 0	0.998 1
35	0.969 0	0.969 9	0.999 4

混沌信号	时间/s
Henon	7.422
Chen	8.997
Qi	9.795

[1]	林云, 徐怀韬, 王森, 张思成, 庄龙. 基于特征融合的通信语音干扰效果客观评估[J]. 通信学报, 2023, 44(3): 105-116.
[2]	龙华, 黄张衡, 邵玉斌, 杜庆治, 苏树盟. 基于改进CFCC特征提取的语种识别算法研究[J]. 通信学报, 2022, 43(12): 211-221.
[3]	段雪源, 付钰, 王坤, 刘涛涛, 李彬. 基于多尺度特征的网络流量异常检测方法[J]. 通信学报, 2022, 43(10): 65-76.
[4]	董有恒, 赵耿, 马英杰. 基于分区初等元胞自动机的二维伪随机耦合映像格系统及其动态特性[J]. 通信学报, 2022, 43(1): 71-82.
[5]	万求真,周昭腾. 具有多参数恒Lyapunov指数谱的新型统一混沌系统[J]. 通信学报, 2020, 41(6): 202-213.
[6]	琚安康,郭渊博,李涛,叶子维. 基于网络通信异常识别的多步攻击检测方法[J]. 通信学报, 2019, 40(7): 57-66.
[7]	任帅,王震,苏东旭,张弢,慕德俊. 基于三维模型贴图与结构数据的信息隐藏算法[J]. 通信学报, 2019, 40(5): 211-222.
[8]	黄春光,程海,丁群. 基于PUF的Logistic混沌序列发生器[J]. 通信学报, 2019, 40(3): 182-189.
[9]	牛盼盼,杨思宇,王丽,杨红颖,李丽,王向阳. 基于稳健特征点的平稳小波域数字水印算法[J]. 通信学报, 2019, 40(11): 187-198.
[10]	王亚华,凌玉华,廖力清,孙克辉,刘文浩. 基于动态子密钥的WSN混沌分组加密方案[J]. 通信学报, 2017, 38(12): 144-152.
[11]	董丽华,药国莉. 基于细胞神经网络的伪随机数生成方法[J]. 通信学报, 2016, 37(Z1): 85-91.
[12]	邓晓衡,廖春龙,朱从旭,陈志刚. 像素位置与比特双重置乱的图像混沌加密算法[J]. 通信学报, 2014, 35(3): 216-223.
[13]	邓晓衡，廖春龙，朱从旭，陈志刚. 像素位置与比特双重置乱的图像混沌加密算法[J]. 通信学报, 2014, 35(3): 25-222.
[14]	付明哲,王相海,宋传鸣. 基于3D混合树和视觉特性的视频可分级编码算法[J]. 通信学报, 2012, 33(11): 100-107.
[15]	夏楠,邱天爽,李景春. 基于锁相环和小波变换的PSK信号波特率估计[J]. 通信学报, 2012, 33(1): 96-101.