短波突发FSK信号解调技术研究
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摘要
针对短波突发FSK信号解调中存在突发检测和同步判决的问题,提出了一种基于谱熵检测和短时傅里叶变换(Discrete short time Fourier transform,DSTFT)判决的突发信号解调方法。根据信号和噪声在频段内功率谱熵分布的不同,利用谱熵可有效区分信号段和噪声段,为信号解调提供连续有用信息。在FSK解调中提出了具有抗噪声性能的载频附近功率累积量的码元判决方法,同时采用具有抗频偏的载频附近峰值比的码元同步方法。仿真结果表明:基于谱熵的检测方法可有效满足突发信号检测,本文解调方法在低信噪比下具有更低的解调误码率,结合谱熵检测可有效满足突发信号的精确识别和解调。
Aiming at the problem of burst detection and synchronization judgment on FSK signal demodulation,a method of burst signal demodulation based on spectrum entropy and discrete short time Fourier transform(DSTFT) is proposed. According to power spectrum entropy of signal and noise is different in frequency band,the method of spectrum entropy can distinguish signal segment and noise segment. Then the symbol decision method based on power accumulation for the region near the carrier frequency which has good anti-noise performance and the symbol synchronization method based on the peak ratio near the two carrier frequency which is resistant to carrier frequency offset is used. The simulation results show that the method of spectrum entropy can detect burst signal effectively,and the demodulation method has lower BER under low signal-to-noise conditions. The method based on spectrum entropy and DSTFT can demodulate burst FSK signal efficiently.
Aiming at the problem of burst detection and synchronization judgment on FSK signal demodulation,a method of burst signal demodulation based on spectrum entropy and discrete short time Fourier transform(DSTFT) is proposed. According to power spectrum entropy of signal and noise is different in frequency band,the method of spectrum entropy can distinguish signal segment and noise segment. Then the symbol decision method based on power accumulation for the region near the carrier frequency which has good anti-noise performance and the symbol synchronization method based on the peak ratio near the two carrier frequency which is resistant to carrier frequency offset is used. The simulation results show that the method of spectrum entropy can detect burst signal effectively,and the demodulation method has lower BER under low signal-to-noise conditions. The method based on spectrum entropy and DSTFT can demodulate burst FSK signal efficiently.
引文
[1]张孝龙.基于FPGA的软件无线电上下变频技术的研究与设计[D].南京:南京邮电大学,2013.
[2]苏文盛.软件无线电下4FSK调制解调的研究及实现[D].北京:北京邮电大学,2013.
[3]张鑫龙,周胜源.基于软件无线电的2FSK相干解调[J].电子设计工程,2010,18(9):118-120.
[4]郭志阳,孙向阳,陈学英.基于FPGA的DSTFT算法对FSK信号解调的改进[J].电子设计工程,2016(21):4-6.
[5]金文光,张正宇,唐少华.2FSK信号DSTFT解调算法中的同步新方法[J].浙江大学学报(工学版),2011,45(6):1027-1031.
[6]周现国,殷素杰,徐志平.一种基于散射信道极低速率检测技术研究[J].无线电通信技术,2012,38(4):60-62.
[7]徐艺文,陈忠辉,李雷,等.基于DFT的2FSK信号解调自适应门限同步检测算法[J].四川大学学报:工程科学版,2011(s1):169-173.
[8]魏宇培,梁先明,廖龙灵.非协同突发信号的检测与解调[J].电讯技术,2015,55(4):395-400.
[9]吴迪,葛临东,王彬.短波突发信号盲检测算法的对比研究[J].通信学报,2010(s1):111-116.
[10]梁聪.短时突发信号解调算法研究[D].郑州:解放军信息工程大学,2011.
[11]赵建秀,王洪国,邵增珍,等.一种基于信息熵的时间序列分段线性表示方法[J].计算机应用研究,2013,30(8):2391-2394.
[12]田伟,周新力,孟庆萍,等.短波信道信噪比估计及其在信道均衡中的应用[J].系统仿真学报,2013,25(3):575-579.
[13]李艳,成凌飞,张培玲.一种基于改进谱熵的语音端点检测方法[J].计算机科学,2016,43(11A):233-236.
[14]魏宇培,梁先明,廖龙灵.非协同突发信号的检测与解调[J].电讯技术,2015,55(4):395-400.
[15]李荣荣,胡昌奎,余娟.基于谱熵的语音端点检测算法改进研究[J].武汉理工大学学报,2013,35(7):134-139.
[16]兰铂.FSK和PSK信号特征研究[D].北京:北京邮电大学,2011.
[17]张骥,汤元会.基于PI调节的高稳定度交流信号源设计[J].纺织高校基础科学学报,2014,27(2):267-270.
[18]同娜,朱长军,翟学军,等.两个耦合六波混频信号特性[J].纺织高校基础科学学报,2015,28(1):85-89.
[19]史强强,孟新新,赵乾坤,等.数字SPWM调制信号截尾误差的补偿方法研究[J].陕西电力,2013(12):61-65
[20]马保科,常红芳,尹纪欣.电磁脉冲信号电离层传播的时间特性[J].西安工程大学学报,2016,30(6):854-860.
[2]苏文盛.软件无线电下4FSK调制解调的研究及实现[D].北京:北京邮电大学,2013.
[3]张鑫龙,周胜源.基于软件无线电的2FSK相干解调[J].电子设计工程,2010,18(9):118-120.
[4]郭志阳,孙向阳,陈学英.基于FPGA的DSTFT算法对FSK信号解调的改进[J].电子设计工程,2016(21):4-6.
[5]金文光,张正宇,唐少华.2FSK信号DSTFT解调算法中的同步新方法[J].浙江大学学报(工学版),2011,45(6):1027-1031.
[6]周现国,殷素杰,徐志平.一种基于散射信道极低速率检测技术研究[J].无线电通信技术,2012,38(4):60-62.
[7]徐艺文,陈忠辉,李雷,等.基于DFT的2FSK信号解调自适应门限同步检测算法[J].四川大学学报:工程科学版,2011(s1):169-173.
[8]魏宇培,梁先明,廖龙灵.非协同突发信号的检测与解调[J].电讯技术,2015,55(4):395-400.
[9]吴迪,葛临东,王彬.短波突发信号盲检测算法的对比研究[J].通信学报,2010(s1):111-116.
[10]梁聪.短时突发信号解调算法研究[D].郑州:解放军信息工程大学,2011.
[11]赵建秀,王洪国,邵增珍,等.一种基于信息熵的时间序列分段线性表示方法[J].计算机应用研究,2013,30(8):2391-2394.
[12]田伟,周新力,孟庆萍,等.短波信道信噪比估计及其在信道均衡中的应用[J].系统仿真学报,2013,25(3):575-579.
[13]李艳,成凌飞,张培玲.一种基于改进谱熵的语音端点检测方法[J].计算机科学,2016,43(11A):233-236.
[14]魏宇培,梁先明,廖龙灵.非协同突发信号的检测与解调[J].电讯技术,2015,55(4):395-400.
[15]李荣荣,胡昌奎,余娟.基于谱熵的语音端点检测算法改进研究[J].武汉理工大学学报,2013,35(7):134-139.
[16]兰铂.FSK和PSK信号特征研究[D].北京:北京邮电大学,2011.
[17]张骥,汤元会.基于PI调节的高稳定度交流信号源设计[J].纺织高校基础科学学报,2014,27(2):267-270.
[18]同娜,朱长军,翟学军,等.两个耦合六波混频信号特性[J].纺织高校基础科学学报,2015,28(1):85-89.
[19]史强强,孟新新,赵乾坤,等.数字SPWM调制信号截尾误差的补偿方法研究[J].陕西电力,2013(12):61-65
[20]马保科,常红芳,尹纪欣.电磁脉冲信号电离层传播的时间特性[J].西安工程大学学报,2016,30(6):854-860.