基于DDS的混沌信号发生器设计
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摘要
DDS根据正弦函数的产生,从相位开始经过相位幅度转换,根据不同的相位然后给出不同的电压幅值,最后经过低通滤波器,输出得到所需要的混沌信号。将MATLAB生成的离散点传递给RAM,然后把存储在RAM中的波形数据输出给D/A转换器。D/A转换器生成电压阶跃,最后经过低通滤波器输出波形。该波形生成29.8kHz左右的混沌信号,输出波形幅度8~12V,工作频率范围10~50kHz。信号波形生成之后,利用混沌信号的自相关特性,进行广义相关时延法求出时间节点的时延差从而可以计算出定位距离,混沌序列可应用于水下声波定位系统中。
It can get the chaotic signal needed by starting from the phase by phase transformation to present different voltage amplitude according to the different phase and finally transiting a low pass filter while DDS based on the generation of sine function.The discrete points generated by the MATLAB in this article transmit to RAM and output waveform data stored in the RAM to DA converter.DA converter,which generate a series of voltage step,finally smoothly outputs by the low-pass filter.The waveform generates 29.8 kHz chaotic signal,the output waveform amplitude ranging from 8 to 12 V and frequency 10 to 50 kHz.According to autocorrelation characteristic of the chaotic signal,general time delay method can calculate the difference of time delay which can calculate the positioning distance.Chaotic sequence can be used in the underwater acoustic positioning system.
It can get the chaotic signal needed by starting from the phase by phase transformation to present different voltage amplitude according to the different phase and finally transiting a low pass filter while DDS based on the generation of sine function.The discrete points generated by the MATLAB in this article transmit to RAM and output waveform data stored in the RAM to DA converter.DA converter,which generate a series of voltage step,finally smoothly outputs by the low-pass filter.The waveform generates 29.8 kHz chaotic signal,the output waveform amplitude ranging from 8 to 12 V and frequency 10 to 50 kHz.According to autocorrelation characteristic of the chaotic signal,general time delay method can calculate the difference of time delay which can calculate the positioning distance.Chaotic sequence can be used in the underwater acoustic positioning system.
引文
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[13]马英杰,于航如.Tent混沌伪随机序列发生器设计与实现[J].北京电子科技学院报,2015,23(4):61-64.
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[15]沈孟龙.一种基于Chebyshev映射的改进型混沌序列生产算法[D].昆明:云南大学,2015.
[16]陈凯,赵安邦.基于混沌扩频的Pattern时延差编码水声通信研究[J].声学技术.2013,32(5):341-344.
[2]陈滨,刘光祜,唐军,等.相空间法对混沌序列的自相关特性研究[J].电子科技大学学报,2010,39(6):859-863.
[3]杨梅,张志刚,曲仁秀.基于m序列的直接序列扩频CDMA通信系统的仿真研究[J].长江大学学报,2012(5):154-156.
[4]岳晓龙.基于DDS的高精度信号发生器[D].北京:北京邮电大学,2011.
[5]郭亚静.水下动态节点的精确定位技术研究[D].太原:中北大学,2017.
[6]任海鹏,白超,习亚平.一种混沌水声定位方法[J].仪器仪表学报,2015,36(6):1227-1235.
[7]张海龙,闵富红,王恩荣.关于Lyapunov指数计算方法的比较[J].南京师范大学学报,2012,12(1):5-9.
[8]焦小涛,李建昌,门丽娟.两种TDOA定位算法在水声被动定位下的精度分析[J].电声技术,2013,37(1):73-75.
[9]SASSANO M,ASTOLFI A.Dynamic Lyapunov functions[J].Automatica,2013,49(4):1058-1067.
[10]WEN H T,YANG Y M,ZHOU H T,etal.Classification and analysis on the ocean under water acoustic detection signals[J].Journal of Applied Oceanography,2015,34(2):272-277.
[11]FALLAHI K,LEUNG H.A chaos secure communication scheme based on multiplication modulation[J].Communications in Nonlinear Science and Numerical Simulation,2010,15(2):368-383.
[12]SHU X J,WANG J,WANG H B.Chaotic direct sequence spread spectrum for secure underwater acoustic communication[J].Applied Acoustics,2016,10(4):57-66.
[13]马英杰,于航如.Tent混沌伪随机序列发生器设计与实现[J].北京电子科技学院报,2015,23(4):61-64.
[14]PARHI K K,AYINALA M.Low-complexity welch power spectral density computation[J].IEEE Transactions on Ciruits and Systems Regular Papers,2014,61(1):172-182.
[15]沈孟龙.一种基于Chebyshev映射的改进型混沌序列生产算法[D].昆明:云南大学,2015.
[16]陈凯,赵安邦.基于混沌扩频的Pattern时延差编码水声通信研究[J].声学技术.2013,32(5):341-344.