基于序列反转的高速机动目标雷达相干积累方法

王睿铮; 李世强

doi:10.13700/j.bh.1001-5965.2024.0268

基于序列反转的高速机动目标雷达相干积累方法

doi: 10.13700/j.bh.1001-5965.2024.0268

王睿铮^{1, 2},
李世强^1, ,

1.
中国科学院空天信息创新研究院，北京 100094
2.
中国科学院大学电子电气与通信工程学院，北京 100049

基金项目:

科工局民用航天技术预先研究项目(D010105)

详细信息

通讯作者:
E-mail：lishq@mail.ie.ac.cn

中图分类号: V221+; TN957
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- 被引次数: 0
出版历程
- 收稿日期: 2024-04-29
- 录用日期: 2024-08-23
- 网络出版日期: 2024-12-11
- 整期出版日期: 2026-06-30

Radar coherent integration method for high-speed maneuvering targets based on sequence reversal

WANG Ruizheng^{1, 2},
LI Shiqiang^{1
, ,}

1.
Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100094，China
2.
School of Electronic，Electrical and Communication Engineering，University of Chinese Academy of Sciences，Beijing 100049，China

Funds:

Pre-research Project of Civil Aviation Technology in Administration of Science, Technology and Industry (D010105)

More Information

Corresponding author: E-mail：lishq@mail.ie.ac.cn

摘要

摘要:
针对高速机动目标雷达回波相干积累中的跨距离单元走动和多普勒频率徙动问题，提出基于改进时间反转变换-新距离频率反转变换-变尺度逆傅里叶变换(ITRT-NRFRT-SCIFT)和时间反转变换-新距离频率反转变换(TRT-NRFRT)的联合算法，利用慢TRT分离目标速度信息和距离信息，采用NRFRT消除多普勒频率徙动的影响。在TRT-NRFRT后，采用快速傅里叶变换(FFT)实现能量积累，而ITRT-NRFRT后则采用SCIFT消除慢时间与距离频率之间的耦合，并实现回波能量积累。经过仿真实验可以证明，算法能够在不进行任何参数搜索的条件下实现对三阶运动目标的跨距离单元走动和多普勒频率徙动校正，并进行回波能量积累，获得目标的径向距离和速度信息，且具备相对较低的运算复杂度。
- 高速机动目标 /
- 脉冲串 /
- 序列反转 /
- 距离走动 /
- 多普勒徙动
Abstract:
This paper proposes a joint algorithm based on improved time reversal transform-new range frequency reversal transform-scale-variable inverse Fourier transform (ITRT-NRFRT-SCIFT) and time reversal transform-new range frequency reversal transform (TRT-NRFRT) to solve the problems of cross-range cell migration and Doppler frequency migration in coherent integration of radar echoes from high-speed maneuvering targets. First, the slow time sequence is reversed to extract the target velocity information from the range information. Then, the NRFRT is applied to eliminate the effect of Doppler frequency migration. Fast Fourier transform (FFT) is utilized to achieve energy accumulation following TRT-NRFRT, whereas SCIFT is utilized following ITRT-NRFRT to achieve echo energy accumulation and remove the link between slow time and range frequency. Simulation experiments show that the algorithm can correct the cross-range cell migration and Doppler frequency migration of third-order moving targets without any parameter search, and obtain the radial distance and velocity information of the target with relatively low computational complexity.
- high speed maneuvering target /
- pulse train /
- sequence reversal /
- range migration /
- Doppler migration

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图 1 算法流程

Figure 1. Algorithm flowchart

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图 2 算法仿真结果

Figure 2. Algorithm simulation results

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图 3 多目标算法仿真结果

Figure 3. Multiple targets algorithm simulation results

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图 4 不同虚警率下的检测性能

Figure 4. Detection performance under different false alarm rates

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图 5 算法检测性能对比

Figure 5. Comparison of algorithm detection performance

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表 1 算法运行时间比较

Table 1. Algorithm running time comparison

算法名称	运行时间/s
GRFT^[10−11]	244 548.01
TRT-SKT-LVD^[13]	6.57
MTD^[2]	0.17
本文算法	1.30

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表 2 雷达系统参数

Table 2. Radar system parameters

参数	数值
载波频率/GHz	1
带宽/MHz	2
采样频率/MHz	4
脉冲重复频率/Hz	1 000
积累脉冲数	513
目标径向距离/m	14 000
目标径向速度/(m·s⁻¹)	6 000
目标径向加速度/(m·s⁻²)	100
目标径向加加速度/(m·s⁻³)	10

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参考文献(19)

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