基采用时频区域检测的雷达信号盲分选算法
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摘要
为了解决欠定条件下密集雷达信号分选问题,提高雷达信号盲分选算法精度,提出了一种采用时频区域检测的雷达信号盲分选算法,首先利用短时傅立叶变换将混合信号映射至时频平面进行处理,然后通过聚类算法估计出混合矩阵,从而反解出源信号矩阵,进而估计出每一雷达源信号,能够在信号的时频平面投影相交且欠定的条件下,实现信号分选功能.仿真实验结果表明:提出的算法相比于传统的类MUSIC算法及其衍生的相关改进算法具有更高的分选精度和算法收敛性,且估计得到的源信号时域波形更优,体现了其有效性和优越性.
In order to solve the dense radar signal sorting problem under underdetermined condition,a radar signal blind sorting algorithm using time-frequency region detection is proposed to improve the accuracy.Firstly,the mixed signal is mapped to the time-frequency region for processing by the short time Fourier transformation,then the hybrid matrix is estimated throgh clustering algorithm,so the source signal matrix is inversely solved,and each radar source signal is estimated.The proposed method can achieve the function of signal sorting when the signal is projected and intersected in the time-frequency region,under underdetermined conditions.The simulation results show that the proposed algorithm has a higher sorting accuracy and algorithm convergence comparing with the traditional MUSIC algorithm and its improved algorithms,and estimates better time-domain waveform of the source signal,which reflects the effectiveness and superiority.
In order to solve the dense radar signal sorting problem under underdetermined condition,a radar signal blind sorting algorithm using time-frequency region detection is proposed to improve the accuracy.Firstly,the mixed signal is mapped to the time-frequency region for processing by the short time Fourier transformation,then the hybrid matrix is estimated throgh clustering algorithm,so the source signal matrix is inversely solved,and each radar source signal is estimated.The proposed method can achieve the function of signal sorting when the signal is projected and intersected in the time-frequency region,under underdetermined conditions.The simulation results show that the proposed algorithm has a higher sorting accuracy and algorithm convergence comparing with the traditional MUSIC algorithm and its improved algorithms,and estimates better time-domain waveform of the source signal,which reflects the effectiveness and superiority.
引文
[1]薛帅,郭宇豪,韩舒文.军事行动避空侦察的时机和路线选择[J].数学的实践与认识,2017,47(15):57-64.
[2]陆凤波,黄知涛,姜文利.基于时频域单源区域的延迟欠定混合非平稳信号盲分离[J].电子学报,2011,39(4):854-858.
[3]仔波,陈文超,高静怀,等.一种改进的多通道盲信号解相关算法[J].工程数学学报,2011,28(1):15-20.
[4]王红卫,范翔宇,陈游,等.基于循环平稳度准则的多路雷达信号识别算法[J].兵工学报,2016,37(4):661-669.
[5]徐善顶,曹喜望,许广魁.由交织技术构建新的最优跳频序列族[J].工程数学学报,2017,34(3):221-231.
[6]谷千伟,金炜东,余志斌.基于时频分析的高速列车转向架混合故障盲分离[J].电气应用,2015(12):109-113.
[7]肖明,谢胜利,傅予力.基于超平面法矢量的欠定盲信号分离算法[J].自动化学报,2008,34(2):142-149.
[8]林建华.商业银行岗位价值评估的盲数模型及应用[J].数学的实践与认识,2018,48(18):1-11.
[9]白伟,郭士民.变分同伦摄动迭代法求解抛物型方程反问题中的控制参数[J].应用数学学报,2016,39(1):1-11.
[10]付卫红,马丽芬,李爱丽.基于改进K-均值聚类的欠定混合矩阵盲估计[J].系统工程与电子技术,2014,36(11):2143-2148.
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[12]张良俊,杨杰,卢开旺,等.基于循环平稳特性的时频分析法欠定盲源分离[J].兵工学报,2015,36(4):703-709.
[13]谭北海,谢胜利.基于源信号数目估计的欠定盲分离[J].电子与信息学报,2008,30(4):863-867.
[14]同晓荣.基于SystemVue的声信号分离仿真系统的建模与实现[J].系统仿真学报,2018,30(8):3179-3187,3197.
[15]包玉娥,雷一鸣.模糊数空间上的积分度量及其在模糊聚类中的应用[J].模糊系统与数学,2017,31(4):69-77.
[16]钟麟,欧建军,张健,等.基于多目标优化的对抗反辐射导弹诱饵部署[J].数学的实践与认识,2017,47(20):164-169.
[17]刁鸣,李永潮,高洪元.酉求根MUSIC算法在双基地MIMO雷达中的应用[J].哈尔滨工程大学学报,2016,37(9):1292-1296.
[18]顾坤良,欧阳缮,李晶晶,等.基于MUSIC算法的频率分集阵列雷达目标定位方法[J].桂林电子科技大学学报,2017,37(2):87-91.
[19]汤辉,王殊.基于稳健联合分块对角化的卷积盲分离[J].自动化学报,2013,39(9):1502-1510.
[20]尤国红,邱天爽,夏楠,等.基于均匀圆阵的扩展循环MUSIC算法[J].通信学报,2014,35(2):9-15.
[2]陆凤波,黄知涛,姜文利.基于时频域单源区域的延迟欠定混合非平稳信号盲分离[J].电子学报,2011,39(4):854-858.
[3]仔波,陈文超,高静怀,等.一种改进的多通道盲信号解相关算法[J].工程数学学报,2011,28(1):15-20.
[4]王红卫,范翔宇,陈游,等.基于循环平稳度准则的多路雷达信号识别算法[J].兵工学报,2016,37(4):661-669.
[5]徐善顶,曹喜望,许广魁.由交织技术构建新的最优跳频序列族[J].工程数学学报,2017,34(3):221-231.
[6]谷千伟,金炜东,余志斌.基于时频分析的高速列车转向架混合故障盲分离[J].电气应用,2015(12):109-113.
[7]肖明,谢胜利,傅予力.基于超平面法矢量的欠定盲信号分离算法[J].自动化学报,2008,34(2):142-149.
[8]林建华.商业银行岗位价值评估的盲数模型及应用[J].数学的实践与认识,2018,48(18):1-11.
[9]白伟,郭士民.变分同伦摄动迭代法求解抛物型方程反问题中的控制参数[J].应用数学学报,2016,39(1):1-11.
[10]付卫红,马丽芬,李爱丽.基于改进K-均值聚类的欠定混合矩阵盲估计[J].系统工程与电子技术,2014,36(11):2143-2148.
[11]Yilmaz O,Rickard S.Blind separation of speech mixtures via time-frequency masking[J].IEEE Trans Signal Process,2004,52(7):1830-1847.
[12]张良俊,杨杰,卢开旺,等.基于循环平稳特性的时频分析法欠定盲源分离[J].兵工学报,2015,36(4):703-709.
[13]谭北海,谢胜利.基于源信号数目估计的欠定盲分离[J].电子与信息学报,2008,30(4):863-867.
[14]同晓荣.基于SystemVue的声信号分离仿真系统的建模与实现[J].系统仿真学报,2018,30(8):3179-3187,3197.
[15]包玉娥,雷一鸣.模糊数空间上的积分度量及其在模糊聚类中的应用[J].模糊系统与数学,2017,31(4):69-77.
[16]钟麟,欧建军,张健,等.基于多目标优化的对抗反辐射导弹诱饵部署[J].数学的实践与认识,2017,47(20):164-169.
[17]刁鸣,李永潮,高洪元.酉求根MUSIC算法在双基地MIMO雷达中的应用[J].哈尔滨工程大学学报,2016,37(9):1292-1296.
[18]顾坤良,欧阳缮,李晶晶,等.基于MUSIC算法的频率分集阵列雷达目标定位方法[J].桂林电子科技大学学报,2017,37(2):87-91.
[19]汤辉,王殊.基于稳健联合分块对角化的卷积盲分离[J].自动化学报,2013,39(9):1502-1510.
[20]尤国红,邱天爽,夏楠,等.基于均匀圆阵的扩展循环MUSIC算法[J].通信学报,2014,35(2):9-15.