基于时频域联合滤波的中段群目标信号分离

贺思三; 赵会宁; 张永顺

doi:10.12000/JR15008

基于时频域联合滤波的中段群目标信号分离

DOI: 10.12000/JR15008

(空军工程大学防空反导学院西安 710051)

基金项目:

国家自然科学基金(61372166)

详细信息

作者简介:
贺思三(1981-),男,湖南湘潭人,博士,空军工程大学讲师,研究方向为弹道目标识别.E-mail:hesisan@163.com赵会宁(1979-),女,陕西扶风人,硕士,空军工程大学讲师,研究方向为雷达电子对抗技术.E-mail:zhaohuininghss@163.com张永顺(1956-),男,空军工程大学教授,博士生导师,研究方向为雷达电子对抗技术.

通讯作者:
贺思三hesisan@163.com

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出版历程
- 收稿日期: 2015-01-19
- 修回日期: 2015-06-11
- 网络出版日期: 2015-10-28

Signal Separation for Target Group in Midcourse Based on Time-frequency Filtering

(The Aerial Defence and Antimissile Institute, Air Force Engineering University, Xi'an 710051, China)

Funds:

The National Natural Science Foundation of China (61372166)

摘要

摘要: 该文针对中段群目标回波信号分离问题,提出了基于时频域联合滤波的信号分离算法.该算法首先基于自相关原理估计出某一目标的微动周期;然后根据所估计周期对回波进行分段,利用S变换提取各段信号在时频域的强能量区域,各段信号强能量区域的交集即对应了某一目标在时频面上的支撑域.基于该支撑域对回波进行时频域联合滤波即可得到某一目标的回波信号,实现回波信号的分离.仿真结果验证了该文所提算法的有效性.
- 弹道导弹 /
- 群目标 /
- 信号分离 /
- 时频滤波
Abstract: To separate the target group siganl in midcourse, a method based on time-frequency filtering is proposed in this paper. Firstly, the micro-motion period of one target is estimated based on the auto correlation method. Then, the signal is divided to several segments based on the estimated period. Also, the strong energy area in time-frequency domain for each segment signal is obtained by S-transform. The intersection of strong energy areas for different period can be seem as the support area of target. So, the signal attribute to one target can be obtained by time-frequency filtering based on the estimated support area. Simulation results verify the effectiveness of the proposed algorithm.
- Ballistic missile /
- Target group /
- Signal separation /
- Time-frequency filtering

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参考文献(8)

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