基于压缩感知和三次相位变换的低复杂度空中机动目标参数估计

李海; 郑景忠; 周盟; 吴仁彪

doi:10.11999/JEIT150170

基于压缩感知和三次相位变换的低复杂度空中机动目标参数估计

doi: 10.11999/JEIT150170

2.
(中国民航大学天津市智能信号与图像处理重点实验室天津 300300) ②(澳大利亚伍伦贡大学电气计算机与通信工程学院伍伦贡 999029)

基金项目:

国家自然科学基金(61471365, 61231017)，中国民航大学蓝天青年学者培养经费和中央高校基本科研业务费项目(3122015B002)

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出版历程
- 收稿日期: 2015-01-29
- 修回日期: 2015-07-21
- 刊出日期: 2015-11-19

Parameters Estimation of Air Maneuvering Target Based on Compressive Sensing and Cubic Phase Transform

2.
(Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)

Funds:

The National Natural Science Foundation of China (61471365, 61231017)

摘要

摘要: 该文提出一种基于压缩感知和三次相位变换(Cubic Phase Transform, CPT)的低复杂度空中机动目标参数估计方法。首先利用CPT将机动目标回波信号中的两个参数进行分离，然后采用压缩感知技术完成机动目标参数的估计。在机载雷达发射脉冲数有限的情况下，该方法能够获得准确的参数估计结果；仿真实验验证了该方法有效性。
- 机动目标 /
- 参数估计 /
- 压缩感知 /
- 三次相位变换
Abstract: A novel and low complexity algorithm is proposed to estimate the parameters of air maneuvering target based on Compressive Sensing (CS) and Cubic Phase Transform (CPT). First of all, CPT is utilized to separate the two parameters of the maneuvering target. Then, CS is used to estimate the parameters according to the properties of sparse signal in the time-frequency domain. The proposed algorithm can acquire precise parameter estimation with limited pulses in a coherent processing interval for airborne radar. The effectiveness of the proposed algorithm is verified by the numerical simulations.
- Maneuvering target /
- Parameter estimation /
- Compressive Sensing (CS) /
- Cubic Phase Transform (CPT)

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参考文献(31)

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