摘要
在单比特测频中,由于近似核快速傅里叶变换(FFT)的影响,常规频率拟合算法无法满足测频精度要求。在Rife算法的基础上通过特征分类和算法模型参数求解,提出了一种基于LM算法的频率拟合算法。仿真结果表明,本文算法的测频精度达到0.1 MHz,与Rife算法、Quinn算法以及高斯拟合等算法相比,均方根误差更接近克拉美罗界,测频精度更高。
Due to the influence of approximate kernel fast Fourier transform(FFT)in the monobit frequency measurement,general frequency fitting algorithm is unable to meet the requirements of frequency measurement accuracy.Based on the Rife algorithm,a frequency fitting algorithm based on Levenberg-Maraguarat(LM)algorithm is proposed in this paper by means of feature classification and solving the algorithm model parameters.The simulation results show that the frequency measurement accuracy of the algorithm proposed in this paper reaches 0.1 MHz,and compared to Rife algorithm,Quinn algorithm and Gaussian fitting algorithm,the root-mean-square error(RMSE)is closer to Carmer Rao lower bound(CRLB)and has higher frequency measurement accuracy.
作者
周小宁
王立权
朱伟华
闫宏雁
张宇
ZHOU Xiao-ning;WANG Li-quan;ZHU Wei-hua;YAN Hong-yan;ZHANG Yu(Shanghai Electro-mechanical Engineering Institute,Shanghai 201109,China)
出处
《舰船电子对抗》
2020年第5期44-49,共6页
Shipboard Electronic Countermeasure
关键词
单比特
近似核快速傅里叶变换
Rife算法
LM算法
频率拟合
测频精度
monobit
approximate kernel fast Fourier transform
Rife algorithm
LM algorithm
frequency fitting
frequency measurement accuracy
