基于底噪拟合的Ku频段卫星频谱信号检测方法
|
摘要
卫星通信在民用和军用通信中承担着越来越重要的责任,针对卫星频谱进行监测有助于提高卫星频谱利用率。由于地面通信、干扰信号和其他噪声分布情况具有不可预知性,待检测卫星频谱中的噪声基底往往起伏较大,这提高了频谱信号参数感知的难度。文中提出了一种适用于Ku频段卫星频谱监测场景的频谱信号检测方法。对于每一条频谱数据,算法首先使用五阶傅里叶级数拟合该条数据的噪声基底以降低其对频谱感知的影响,然后对处理后的频谱进行能量检测。经过仿真实验证明,五阶傅里叶级数能利用部分底噪较为准确地还原出完整的频谱底噪,文中提出的方法在Ku频段卫星频谱数据上相对于传统的能量检测法能够实现更好的信号检测效果。
Satellite communications bears an increasingly important responsibility in civil and military communications,and monitoring satellite spectrum helps to improve satellite spectrum utilization.Due to the unpredictability of terrestrial communications,interference signals and other noise distributions,the noise floor in the spectrum of the satellite to be detected often has a large fluctuation,which increases the difficulty of sensing the spectral signal parameters.This paper proposes a spectrum signal's detection method suitable for Ku-band satellite spectrum monitoring scenarios.For each spectral data,the algorithm first uses the Fourier series to fit the noise floor of the data to reduce its impact on the spectrum perception,and then performs energy detection on the processed spectrum.The simulations show that the proposed method can achieve better signal detection effect on the Ku-band satellite spectrum data than the traditional energy detection method.
Satellite communications bears an increasingly important responsibility in civil and military communications,and monitoring satellite spectrum helps to improve satellite spectrum utilization.Due to the unpredictability of terrestrial communications,interference signals and other noise distributions,the noise floor in the spectrum of the satellite to be detected often has a large fluctuation,which increases the difficulty of sensing the spectral signal parameters.This paper proposes a spectrum signal's detection method suitable for Ku-band satellite spectrum monitoring scenarios.For each spectral data,the algorithm first uses the Fourier series to fit the noise floor of the data to reduce its impact on the spectrum perception,and then performs energy detection on the processed spectrum.The simulations show that the proposed method can achieve better signal detection effect on the Ku-band satellite spectrum data than the traditional energy detection method.
引文
[1] MITRA I J.Cognitive radio:making software radios more personal[J].IEEE Personal Communications,1999,6(4):13-18.
[2] YUCEK T,ARSLAN H.A survey of spectrum sensing algorithms for cognitive radio applications[J].IEEE Communications Surveys & Tutorials,2009,11(1):116-130.
[3] 彭耿,黄知涛,陆风波,等.DSSS卫星通信系统中窄带干扰的盲检测与消除研究[J].宇航学报,2008,29(6):1955-1958.PENG Geng,HUANG Zhitao,LU Fengbo,et al.Research on blind detection and rejection of narrow band interference in DSSS satellite communication[J].Journal of Atronautics,2008,29(6):1955-1958.(in Chinese)
[4] 孙丽萍,胡光锐,吴珺.一种用于DQPSK卫星通信系统中窄带干扰检测的新方法[J].数据采集与处理,2003,18(2):132-135.SUN Liping,HU Guangrui,WU Jun.A new transform domain method for narrow band interference detection in DQPSK satellite communication systems[J].Journal of Data Acquisition & Processing,2003,18(2):132-135.(in Chinese)
[5] 吴珺,胡光锐,孙丽萍.数字卫星通信系统中共信道窄带干扰检测的FFT方法[J].上海交通大学学报,2003,37(10):1600-1602.WU Jun,HU Guangrui,SUN Liping.An FFT narrow band interference detection scheme in digital satellite communication sytems[J].Journal of Shanghai Jiaotong University,2003,37(10):1600-1602.(in Chinese)
[6] 付卫红,宋长江,黄坤.基于差分求门限的变换域窄带干扰抑制[J].电子与信息学报,2013,35(12):2960-2965.FU Weihong,SONG Changjiang,HUANG Kun.Narrow-band interference suppression in transform domain based on difference-cluster-threshold algorithm[J].Journal of Electronics & Information Technology,2013,35(12):2960-2965.(in Chinese)
[7] 李敏乐,毕大平,韩佳辉.基于形态学运算的子带频谱检测算法[J].探测与控制学报,2017,39(4):49-53.LI Minle,BI Daping,HAN Jiahui.Subband spectrum detection algorithm based on morphological operation[J].Journal of Detection and Control,2017,39(4):49-53.(in Chinese)
[8] 胡婧,边东明,谢智东,等.应用形态学滤波的卫星通信窄带干扰检测新方法[J].计算机科学,2016,43(10):120-124.HU Jing,BIAN Dongming,XIE Zhidong,et al.A new method of narrowband interference detection for satellite communication using morphological filtering[J].Computer Science,2016,43(10):120-124.(in Chinese)
[9] 张玉龙,张更新,胡婧,等.一种基于统计直方图的信号检测算法[J].军事通信技术,2017(1):28-32.ZHANG Yulong,ZHANG Gengxin,HU Jing,et al.A signal detection algorithm based on statistical histogram[J].Journal of Military Communications Technology,2017(1):28-32.(in Chinese)
[10] PRESS W H,FLANNERY B P,TEUKOLSKY S A,et al.Numerical Recipes in C[J].Art of Scientific Computing,1995,10(1):176-177.
[11] SILVERMAN B W.Some aspects of the spline smoothing approach to non-parametric regression curve fitting[J].Journal of the Royal Statistical Society,1985,47(1):1-52.
[12] HELMKE U,KNUT H,LEE P Y,et al.Essential matrix estimation using Gauss-Newton iterations on a manifold[J].International Journal of Computer Vision,2007,74(2):117-136.
[13] BROOKS E B,THOMAS V A,WYNNE R H,et al.Fitting the multi-temporal curve:a fourier series approach to the missing data problem in remote sensing analysis[J].IEEE Transactions on Geoscience & Remote Sensing,2012,50(9):3340-3353.
[14] CHUINE I,COUR P,ROUSSEAU D D.Fitting models predicting dates of flowering of temperate-zone trees using simulated annealing[J].Plant Cell & Environment,1998,21(5):455-466.
[15] YUCEK T,ARSLAN H.A survey of spectrum sensing algorithms for cognitive radio applications[J].IEEE Communications Surveys & Tutorials,2009,11(1):116-130.
[16] SANDIKAR R S K,WADHAI V M,HELONDE J B.Efficient spectrum sensing in cognitive radio using energy detection method with new threshold formulation[C]//International Conference on Microelectronics,Communications and Renewable Energy.2013:1-5.
[17] ZHU J,XU Z,WANG F,et al.Double threshold energy detection of cooperative spectrum sensing in cognitive radio[C]//International Conference on Cognitive Radio Oriented Wireless Neworks & Communications.2008:1-5.
[18] LIU Y,ZENG C,WANG H,et al.Energy detection threshold optimization for cooperative spectrum sensing[C]//International Conference on Advanced Computer Control.2010,4:566-570.
[19] 王博,郭英,韩立峰.基于熵函数的语音端点检测算法研究[J].信号处理,2009,25 (3):368-373.WANG Bo,GUO Ying,HAN Lifeng.Study on speech endpoint detection algorithm based on entropy function[J].Journal of Signal Processing,2009,25(3):368-373.(in Chinese)
[2] YUCEK T,ARSLAN H.A survey of spectrum sensing algorithms for cognitive radio applications[J].IEEE Communications Surveys & Tutorials,2009,11(1):116-130.
[3] 彭耿,黄知涛,陆风波,等.DSSS卫星通信系统中窄带干扰的盲检测与消除研究[J].宇航学报,2008,29(6):1955-1958.PENG Geng,HUANG Zhitao,LU Fengbo,et al.Research on blind detection and rejection of narrow band interference in DSSS satellite communication[J].Journal of Atronautics,2008,29(6):1955-1958.(in Chinese)
[4] 孙丽萍,胡光锐,吴珺.一种用于DQPSK卫星通信系统中窄带干扰检测的新方法[J].数据采集与处理,2003,18(2):132-135.SUN Liping,HU Guangrui,WU Jun.A new transform domain method for narrow band interference detection in DQPSK satellite communication systems[J].Journal of Data Acquisition & Processing,2003,18(2):132-135.(in Chinese)
[5] 吴珺,胡光锐,孙丽萍.数字卫星通信系统中共信道窄带干扰检测的FFT方法[J].上海交通大学学报,2003,37(10):1600-1602.WU Jun,HU Guangrui,SUN Liping.An FFT narrow band interference detection scheme in digital satellite communication sytems[J].Journal of Shanghai Jiaotong University,2003,37(10):1600-1602.(in Chinese)
[6] 付卫红,宋长江,黄坤.基于差分求门限的变换域窄带干扰抑制[J].电子与信息学报,2013,35(12):2960-2965.FU Weihong,SONG Changjiang,HUANG Kun.Narrow-band interference suppression in transform domain based on difference-cluster-threshold algorithm[J].Journal of Electronics & Information Technology,2013,35(12):2960-2965.(in Chinese)
[7] 李敏乐,毕大平,韩佳辉.基于形态学运算的子带频谱检测算法[J].探测与控制学报,2017,39(4):49-53.LI Minle,BI Daping,HAN Jiahui.Subband spectrum detection algorithm based on morphological operation[J].Journal of Detection and Control,2017,39(4):49-53.(in Chinese)
[8] 胡婧,边东明,谢智东,等.应用形态学滤波的卫星通信窄带干扰检测新方法[J].计算机科学,2016,43(10):120-124.HU Jing,BIAN Dongming,XIE Zhidong,et al.A new method of narrowband interference detection for satellite communication using morphological filtering[J].Computer Science,2016,43(10):120-124.(in Chinese)
[9] 张玉龙,张更新,胡婧,等.一种基于统计直方图的信号检测算法[J].军事通信技术,2017(1):28-32.ZHANG Yulong,ZHANG Gengxin,HU Jing,et al.A signal detection algorithm based on statistical histogram[J].Journal of Military Communications Technology,2017(1):28-32.(in Chinese)
[10] PRESS W H,FLANNERY B P,TEUKOLSKY S A,et al.Numerical Recipes in C[J].Art of Scientific Computing,1995,10(1):176-177.
[11] SILVERMAN B W.Some aspects of the spline smoothing approach to non-parametric regression curve fitting[J].Journal of the Royal Statistical Society,1985,47(1):1-52.
[12] HELMKE U,KNUT H,LEE P Y,et al.Essential matrix estimation using Gauss-Newton iterations on a manifold[J].International Journal of Computer Vision,2007,74(2):117-136.
[13] BROOKS E B,THOMAS V A,WYNNE R H,et al.Fitting the multi-temporal curve:a fourier series approach to the missing data problem in remote sensing analysis[J].IEEE Transactions on Geoscience & Remote Sensing,2012,50(9):3340-3353.
[14] CHUINE I,COUR P,ROUSSEAU D D.Fitting models predicting dates of flowering of temperate-zone trees using simulated annealing[J].Plant Cell & Environment,1998,21(5):455-466.
[15] YUCEK T,ARSLAN H.A survey of spectrum sensing algorithms for cognitive radio applications[J].IEEE Communications Surveys & Tutorials,2009,11(1):116-130.
[16] SANDIKAR R S K,WADHAI V M,HELONDE J B.Efficient spectrum sensing in cognitive radio using energy detection method with new threshold formulation[C]//International Conference on Microelectronics,Communications and Renewable Energy.2013:1-5.
[17] ZHU J,XU Z,WANG F,et al.Double threshold energy detection of cooperative spectrum sensing in cognitive radio[C]//International Conference on Cognitive Radio Oriented Wireless Neworks & Communications.2008:1-5.
[18] LIU Y,ZENG C,WANG H,et al.Energy detection threshold optimization for cooperative spectrum sensing[C]//International Conference on Advanced Computer Control.2010,4:566-570.
[19] 王博,郭英,韩立峰.基于熵函数的语音端点检测算法研究[J].信号处理,2009,25 (3):368-373.WANG Bo,GUO Ying,HAN Lifeng.Study on speech endpoint detection algorithm based on entropy function[J].Journal of Signal Processing,2009,25(3):368-373.(in Chinese)