侯越圣
战略支援部队信息工程大学 郑州 450001
基金项目:国家自然科学基金(61572518)
详细信息
作者简介:王彬：女，1971年生，副教授，研究方向为信号分析与处理
侯越圣：男，1995年生，硕士生，研究方向为信号分析与处理
通讯作者:王彬 commutech@163.com
中图分类号:TN911计量
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被引次数:0
出版历程
收稿日期:2019-05-07
修回日期:2019-12-16
网络出版日期:2020-07-16
刊出日期:2020-09-27
Estimation of Volume Target Length in Alpha Distribution Noise
Bin WANG,,Yuesheng HOU
PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China
Funds:The National Natural Science Foundation of China (61572518)
摘要
摘要:为了解决Alpha稳定分布噪声环境下运动舰船目标的长度估计问题，该文借鉴非线性变换抑制脉冲噪声以及多普勒目标运动特性估计思想，提出基于广义时频分析(G-TFA)和最小二乘估计的运动目标长度估计方法。该方法首先利用G-TFA获取Alpha稳定分布噪声环境下运动目标的多普勒频率，然后利用最小二乘方法估计出目标航速和不同位置的横正时刻，最后利用上述估计结果计算目标长度。以广义Winger-Ville分布(G-WVD)为例，从理论上推导了G-TFA在Alpha稳定分布噪声环境下具有提取目标多普勒特征的能力，并通过仿真实验验证了该算法在中低混合信噪比下的稳健性。与现有算法相比，该文所提算法不需要估计噪声特征指数，算法性能优于基于传统时频分析的估计方法。
关键词:目标长度估计/
横正时刻估计/
Alpha稳定分布噪声/
广义时频分析/
多普勒分析
Abstract:In order to estimate the length of moving ship targets in Alpha stable distribution noise, a moving target length estimation method based on Generalized Time-Frequency Analysis (G-TFA) and least squares estimation is proposed, which utilizes nonlinear transform to suppress impulsive noise and Doppler effect to estimate target motion characteristics. The method uses G-TFA to obtain the Doppler frequency of moving targets in a stable distributed noise environment. Then, the least squares method is used to estimate the target speed and the closest point of approach time of different positions. Finally, the target length is calculated using the above estimation results. Taking Generalized Winger-Ville Distribution (G-WVD) as an example, the ability of G-TFA to extract Doppler features in Alpha stable distributed noise is theoretically derived. The robustness of the proposed method under low-to-medium mixed signal-to-noise ratio is verified by simulation experiments. Compared with the existing methods, the proposed method does not need to estimate the noise characteristic index, and the performance is better than the methods based on the traditional time-frequency analysis.
Key words:Target length estimation/
Estimating the closest point of approach time/
Alpha distribution noise/
Generalized Time-Frequency Analysis (G-TFA)/
Doppler feature analysis
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