北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (2): 371-378.doi: 10.13700/j.bh.1001-5965.2019.0128

• 论文 • 上一篇    下一篇

基于离散正弦调频变换的中段多微动目标分离

陈帅1, 冯存前2, 张蓉3   

  1. 1. 空军工程大学 研究生院, 西安 710051;
    2. 空军工程大学 防空反导学院, 西安 710051;
    3. 空军装备部驻北京地区军事代表局, 北京 100166
  • 收稿日期:2019-03-27 发布日期:2020-03-11
  • 通讯作者: 冯存前 E-mail:fengcunqian@sina.com
  • 作者简介:陈帅,男,硕士研究生。主要研究方向:目标探测与识别;冯存前,男,博士,教授,博士生导师。主要研究方向:雷达信号处理。
  • 基金资助:
    国家自然科学基金(61701528)

Separation of midcourse multiple micro-motion targets based on DSFMT

CHEN Shuai1, FENG Cunqian2, ZHANG Rong3   

  1. 1. Graduate College, Air Force Engineering University, Xi'an 710051, China;
    2. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China;
    3. Military Representative Office of the Air Force Equipment Department in Beijing, Beijing 100166, China
  • Received:2019-03-27 Published:2020-03-11
  • Supported by:
    National Natural Science Foundation of China (61701528)

摘要: 弹道导弹在飞行中段形成目标群,窄带雷达无法从距离上将弹道目标分离。为使窄带雷达具备分离弹道目标的能力,对弹道目标的微动特性进行研究。对振动目标的信号回波进行建模,分析其在离散正弦调频变换(DSFMT)中的聚敛特性。利用多分量信号在变换域中的聚敛特性,实现不同信号分量的分离,并估计出目标的振动频率。仿真实验表明,在信噪比-10 dB下,多个振动目标散射点的窄带雷达回波在DSFMT域上具有明显的聚敛特性,分辨出了不同的振动散射点,振动频率估计均方根误差小于-2.5 dB。

关键词: 微动, 弹道中段, 窄带雷达, 离散正弦调频变换(DSFMT), 目标分离

Abstract: The ballistic missile forms a target group in its mid-flight, and the narrowband radar cannot separate the ballistic target from the distance because of its narrow bandwidth. In order to enable narrowband radar to separate ballistic targets, the micro-motion characteristics of ballistic targets were studied. The narrowband radar signal echo of vibration target was modeled and its convergence characteristics in discrete sinusoidal frequency modulation transform (DSFMT) domain were analyzed. The convergence characteristics of multi-component signals in the transform domain were studied to separate different signal components and the vibration frequency of the target was estimated. The simulation results show that the narrowband radar echoes of multiple vibration ballistic targets have obvious convergence characteristics in the DSFMT domain under the signal to noise ratio of -10 dB, the proposed algorithm can distinguish different vibration scattering points, and the estimated vibration frequency root mean square error is less than -2.5 dB.

Key words: micro-motion, midcourse trajectory, narrowband radar, discrete sinusoidal frequency modulation transform (DSFMT), target separation

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