摘要
针对冲击-高斯混合噪声环境下的FM信号瞬时频率估计问题,在方向性S变换的基础上,提出了一种基于新型关联随机一致性算法(RANSAC)的瞬时频率估计方法。该算法将原RANSAC算法的随机一致搜索策略与FM信号的物理特征统一起来,构建关联函数以保证在抑制复杂噪声的同时准确跟踪目标信号的时变轨迹。结合方向性S变换的二次平滑特性,算法能够在-7 dB混合噪声的干扰下恢复信号的相位信息。仿真实验在α-高斯混合噪声条件下验证了算法的有效性。
Aiming at estimating the instantaneous frequency of FM signals in the complexα-Gaussian mixed noise environment,a new method called the relative random sample consensus(RANSAC)was developed on the basis of directional S transform.The new algorithm combined the searching strategy of the original RANSAC algorithm tightly with FM signal’s physical characteristics altogether to propose a new function that can ensure the mixed noises be depressed and the instantaneous frequency trajectory be accurately tracked simultaneously.With the quadratic smoothing ability of the directional S transform,this new algorithm managed to recover phase information of the target signals in mixed noise environment of-7 dB the signal to noise ration.Numerous simulations have proved the algorithm’s effectiveness inα-Gaussian mixed noise environment.
作者
杨骐溪
李艳斌
Yang Qixi;Li Yanbin(The 54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang 050051,China)
出处
《电子测量技术》
2019年第5期76-80,共5页
Electronic Measurement Technology
关键词
瞬时频率估计
关联随机一致性
方向性S变换
二次平滑性
混合噪声
instantaneous frequency estimation
relative random sample consensus
directional S transform
quadratic smoothness
mixed noise
