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作 者:姚志成 侯范 杨剑 王海洋 王自维 YAO Zhicheng;HOU Fan;YANG Jian;WANG Haiyang;WANG Ziwei(Rocket Force University of Engineering,Xi'an 710000 China)
机构地区:[1]火箭军工程大学,西安710000
出 处:《电光与控制》2022年第9期58-63,95,共7页Electronics Optics & Control
基 金:国家自然科学基金面上项目(62071481)。
摘 要:为了解决存在定频干扰时跳频信号的参数盲估计问题,提出了一种基于时频能量值对消的定频干扰去除算法,并且利用最小二乘法实现跳频信号的参数盲估计。首先,利用K-means算法对能量对消差值聚类选取自适应阈值,同步去除噪声和定频干扰;其次,提取重构时频矩阵每一时刻频率轴的能量最大值,得到周期震荡的包络图;最后,利用最小二乘法对包络图每一极值时刻线性拟合,实现跳频信号参数的盲估计。仿真结果表明,与同类算法相比,该算法有效去除定频干扰,实现了更低信噪比条件下跳频参数的高精度估计,并使估计参数的相对精度维持在较高水平。In order to solve the problem of blind estimation of frequency hopping signal parameters with fixed frequency interference,a removal algorithm based on time-frequency energy value cancellation is proposed,and the blind parameter estimation of frequency hopping signals is realized by least square method.Firstly,the K-means algorithm is used to select an adaptive threshold for the clustering of the energy cancellation value,and the noise and fixed-frequency interference are removed synchronously.Secondly,the maximum energy of the frequency axis at each moment of the reconstructed time-frequency matrix is extracted to obtain the envelope diagram of periodic oscillation.Finally,the least square method is used to linearly fit each extremum of the envelope diagram to realize the blind estimation of the frequency hopping signal parameters.Simulation results show that:Compared with similar algorithms,this algorithm effectively removes fixed-frequency interference,achieves high-precision estimation of frequency hopping parameters under the condition of lower SNR,and maintains the relative accuracy of estimated parameters at a high level.
关 键 词:跳频信号 参数盲估计 时频分析 定频干扰 能量对消
分 类 号:TN911.7[电子电信—通信与信息系统]
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