A Method of Multiple Parameters Estimation for High Speed Moving Targets in Multi-Carrier-Frequency MIMO Radar

QIN Guo-dong; CHEN Bai-xiao; CHEN Duo-fang; ZHANG Shou-hong

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A Method of Multiple Parameters Estimation for High Speed Moving Targets in Multi-Carrier-Frequency MIMO Radar

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- A Method of Multiple Parameters Estimation for High Speed Moving Targets in Multi-Carrier-Frequency MIMO Radar
- Acta Electronica Sinica Vol. 38, Issue 12, Pages: 2763-2768(2010)
- 作者机构：
  
  1. 西安电子科技大学电子工程学院,陕西,西安,710071
  2. 西安电子科技大学电子工程学院雷达信号处理国家重点实验室,陕西,西安,710071
  3. 西安电子科技大学生命科学技术学院,陕西,西安,710071
  4. 西安电子科技大学电子工程学院陕西西安,710071
  5. 西安电子科技大学电子工程学院雷达信号处理国家重点实验室陕西西安,710071
  6. 西安电子科技大学生命科学技术学院陕西西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN958
- Published：2010
- 稿件说明：
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QIN Guo-dong, CHEN Bai-xiao, CHEN Duo-fang, et al. A Method of Multiple Parameters Estimation for High Speed Moving Targets in Multi-Carrier-Frequency MIMO Radar[J]. Acta Electronica Sinica, 2010, 38(12): 2763-2768.
DOI：

QIN Guo-dong, CHEN Bai-xiao, CHEN Duo-fang, et al. A Method of Multiple Parameters Estimation for High Speed Moving Targets in Multi-Carrier-Frequency MIMO Radar[J]. Acta Electronica Sinica, 2010, 38(12): 2763-2768. DOI：

摘要

多载频MIMO雷达中

高速运动目标回波信号经通道分离后各通道的距离和多普勒频率均不在同一分辨单元

无法利用传统的超分辨算法对目标距离、角度等参数进行估计.本文根据目标回波特点提出一种基于级联Keystone变换的高速运动目标参数估计方法.该方法先在快时间维利用Keystone变换校正距离走动

再在慢时间维进行Keystone变换校正多普勒走动

最后用MUSIC算法进行距离、方位和俯仰等参数估计.仿真结果表明了所提方法的可行性和有效性.

Abstract

In multi-carrier-frequency Multiple-Input Multiple-Output (MIMO) radar

the separated echoes of a target with high speed locate in neither the same range bin nor the same Doppler bin.As a result

the parameters (including range

azimuth and elevation) of the target can’t be estimated using the traditional supper-resolution algorithms.A method based on cascaded Keystone transformation is presented to estimate the parameters of the targets moving at a high speed.Keystone transformation is used to correct range migration in the fast-time dimension

and then the Doppler migration is corrected in the slow-time dimension.Finally the Multiple Signal Classification (MUSIC) algorithm is applied on the corrected data to obtain the range

azimuth and elevation of targets.The simulation results indicate the feasibility and validity of the methods presented.

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