基于谱概率密度的短波猝发信号检测算法
首发时间:2017-01-16
摘要:针对短波恶劣信道下猝发信号盲检测与起止时刻提取问题,提出一种基于短时傅里叶变换谱归一化概率密度函数的算法,利用谱归一化概率密度函数最大值在目标信号出现与仅有噪声时存在着明显的界限的特点,设置适当门限,对短波猝发信号进行存在性检测;再根据时域、频域算法相结合的思想,结合改进的双滑动窗口算法提取起止时刻。仿真实验表明,相同条件下,所提出算法比基于能量的检测算法收敛更快,起止时刻估计相对误差较小,检测性能较好。
关键词: 猝发信号检测 起止时刻提取 谱概率密度 双滑动窗口 短波恶劣信道
For information in English, please click here
A Detection Algorithm of Shortwave Burst Signal Based on Spectral Probability Density
Abstract:Aiming to the burst signal detection and extractionin poor shortwave channel, a algorithm based on normalized spectral probability density function using the short-time Fourier transform is proposed in this paper. According to the characteristic that when the burst signal appeared the maximum valueof normalized spectral probability density function is different from when only noise existed ,threshold can be set appropriately to detectthe existence of shortwave burst signal; according tothe time domain and frequency domain algorithm , combined with double sliding windows algorithm, the extraction time can be detected. Simulation results show that under the same conditions, the proposed algorithm converges faster than the detection algorithmbased on energy, the estimation error is smaller and the detection performance is better.
Keywords: burst signal detection start and end timeextraction spectral probability density double sliding windows poor shortwave channel
基金:
论文图表:
引用
No.4716915117882714****
同行评议
共计0人参与
勘误表
基于谱概率密度的短波猝发信号检测算法
评论
全部评论0/1000