Detection and Parameter Estimation of Fast Moving Air Targets in Beamspace

JIA Qiong-qiong; WU Ren-biao

doi:10.3969/j.issn.0372-2112.2014.01.003

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Detection and Parameter Estimation of Fast Moving Air Targets in Beamspace

更新时间：2025-07-16

- Detection and Parameter Estimation of Fast Moving Air Targets in Beamspace
- Acta Electronica Sinica Vol. 42, Issue 1, Pages: 14-19(2014)
- 作者机构：
  
  中国民航大学智能信号与图像处理天津市重点实验室,天津,300300
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2014.01.003
  CLC： TN957
- Published：2014
- 稿件说明：
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JIA Qiong-qiong, WU Ren-biao. Detection and Parameter Estimation of Fast Moving Air Targets in Beamspace[J]. Acta Electronica Sinica, 2014, 42(1): 14-19.
DOI：

JIA Qiong-qiong, WU Ren-biao. Detection and Parameter Estimation of Fast Moving Air Targets in Beamspace[J]. Acta Electronica Sinica, 2014, 42(1): 14-19. DOI： 10.3969/j.issn.0372-2112.2014.01.003.

摘要

Keystone变换所需的插值运算存在计算量大的问题，尤其是用于空时自适应处理（Space-Time Adaptive Processing，STAP）时需要对每个阵元接收的数据分别进行Keystone变换，给工程实现带来了困难.为了解决这一问题，提出了一种在波束域进行Keystone变换校正目标距离走动的新方法，该方法将传统的对每个阵元数据的Keystone变换转换为在波束域进行Keystone变换，从而将

个阵元对应的

次Keystone变换转换为只在主波束内进行一次Keystone变换，这样做使算法的主要运算量降低为原来的1/

.然后将压缩感知（Compressed Sensing，CS）理论用于空时自适应处理的目标参数估计，取得了良好的估计性能.最后通过仿真实验验证了本文方法的有效性.

Abstract

Computation burden and the processing complexity of interpolation operation are the problems Keystone formatting faces.Especially in STAP

where Keystone formatting should be applied to each of the element

which makes it unfeasible for real time processing.Based on these

a new practical method with low computation burden is given

which removes the clutter firstly

and a space domain beam forming is done;after that

Keystone formatting is applied to the beam domain data for range walk compensation.By the proposed method

only one Keystone formatting is needed compared with the KF-STAP method

therefore

the computation burden can be reduced dramatically.Besides

a compressed sensing (CS) based targets' parameter estimation method is proposed for the targets' velocity estimation of STAP.Effectiveness of the proposed methods is verified via simulation examples.

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