J4 ›› 2013, Vol. 40 ›› Issue (4): 181-187.doi: 10.3969/j.issn.1001-2400.2013.04.030

• 研究论文 • 上一篇    下一篇

共形阵列LFM信号多参数估计的传播算子算法

张树银1,2;郭英1;齐子森1;霍文俊1   

  1. (1. 空军工程大学 信息与导航学院,陕西 西安  710077;
    2. 空军西安飞行学院 训练旅,陕西 西安  710300)
  • 收稿日期:2012-04-28 出版日期:2013-08-20 发布日期:2013-10-10
  • 通讯作者: 张树银
  • 作者简介:张树银(1982-),男,空军工程大学博士研究生,E-mail: zsy2504@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61172148);陕西省自然科学基金资助项目(2010JQ8003)

Propagator method for multiple-parameter estimation of LFM signal for conformal array antenna

ZHANG Shuyin1,2;GUO Ying1;QI Zisen1;HUO Wenjun1   

  1. (1. School of Information and Navigation, Air Force Engineering Univ., Xi'an  710077, China;
    2. The First Traning Brigade, Xi'an Flight Academy of Air Force, Xi'an  710300, China)
  • Received:2012-04-28 Online:2013-08-20 Published:2013-10-10
  • Contact: ZHANG Shuyin

摘要:

给出了一种共形阵列完成多分量线性调频信号多参数估计的方法.算法首先根据分数阶傅里叶变换(FRFT)的匹配聚焦能力对阵列接收数据进行预处理,通过多个特定阶次的FRFT将多分量线性调频信号在变换域进行分离,从而得到了简化的快拍数据模型,避免了复杂的参数配对过程,然后在传播算子算法的基础上实现了波达方向估计和极化参数估计.由于不需要参数配对和高维数据协方差矩阵的特征值分解等操作,算法复杂度和运算量均得到了很好控制.仿真实验表明,所给算法在性能上接近旋转不变子空间(ESPRIT)算法,而运算量却远远低于ESPRIT算法.

关键词: 共形阵列天线, 分数阶傅里叶变换, 传播算子算法, 极化参数估计, 线性调频信号

Abstract:

A multiple parameter estimation method for the LFM signal for the conformal array antenna is presented. By employing the energy focusing property of certain-ordered-FRFT to the LFM signal, multiple components blended in received data are separated in the FRFT domain, and hence the simplified data model is acquired, because of which the complicated parameter match is avoided, and then the DOA and polarization estimation is performed by using the PM algorithm. Benefiting from the avoiding of parameter matching and high dimensional eigen-value decomposition, the complexity and computational burden of the algorithm is remarkably controlled. Simulation results show that the proposed algorithm has an approximate performance with a much lower computation burden than ESPRIT.

Key words: conformal array antenna, fractional Fourier transform, propagator method, polarization estimation, linear frequency modulation