基于改进OMP算法的多目标高速机动检测方法

王阳; 张小宽; 马前阔; 郑舒予; 宗彬锋; 徐嘉华

doi:10.13700/j.bh.1001-5965.2022.0580

基于改进OMP算法的多目标高速机动检测方法

doi: 10.13700/j.bh.1001-5965.2022.0580

1.
空军工程大学研究生院，西安 710051
2.
空军工程大学防空反导学院，西安 710051
3.
国防科技大学 ATR国防科技重点实验室，长沙 410073

详细信息

通讯作者:
E-mail：ezxk@sina.com

中图分类号: V221⁺.3；TB553
计量
- 文章访问数: 23
- HTML全文浏览量: 8
- PDF下载量: 5
- 被引次数: 0
出版历程
- 收稿日期: 2022-07-05
- 录用日期: 2022-09-02
- 网络出版日期: 2022-09-30
- 整期出版日期: 2024-07-18

Multiple high-speed maneuvering target detection method based on improved orthogonal matching pursuit algorithm

1.
Graduate School，Air Force Engineering University，Xi’an 710051，China
2.
Air and Missile Defense College，Air Force Engineering University，Xi’an 710051，China
3.
National Key Laboratory of Science and Technology on ATR，National University of Defense Technology，Changsha 410073，China

More Information

Corresponding author: E-mail：ezxk@sina.com

摘要

摘要:
针对多目标高速机动检测问题，提出了一种基于改进正交匹配追踪(OMP)算法的多目标检测方法。根据高速机动目标运动特性建立信号模型；利用改进OMP算法对脉冲压缩后的回波信号进行运动参数估计；构建相位补偿函数对距离徙动和多普勒徙动进行校正；通过快速傅里叶变换(FFT)完成相参积累，实现对多目标的检测。改进算法适用于多目标高速机动检测场景，可有效避免盲速旁瓣现象及信号交叉项的影响，且具有参数估计精度高和抗噪声能力强等优点。仿真实验验证了改进算法的有效性与可靠性。
- 高速机动目标 /
- 改进正交匹配追踪算法 /
- 距离徙动 /
- 多普勒徙动 /
- 相参积累
Abstract:
An improved orthogonal matching pursuit (OMP) algorithm is proposed for the detection of multiple high-speed maneuvering targets. Based on the maneuvering characteristics of a high-speed target, a signal model is established at first. Then, an improved OMP algorithm is used to estimate motion parameters. In addition, a phase compensation function is constructed to correct for the range migration and Doppler migration. Finally, coherent integration can be achieved by the fast Fourier transform (FFT). The suggested technique may successfully avoid the effects of the signal cross term and blind speed side lobe in multi-target high-speed maneuver identification settings.Meanwhile, it has the advantages of high accuracy of parameter estimation and strong anti-noise robustness. The suggested algorithm’s efficacy and dependability are confirmed by the simulation results.
- high-speed maneuvering target /
- improved orthogonal matching pursuit algorithm /
- range migration /
- Doppler migration /
- coherent integration

HTML全文

图 1 基于改进OMP算法的多目标检测流程

Figure 1. Multi target detection flow based on improved OMP algorithm

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图 2 回波直接相参积累结果

Figure 2. Results of echo direct coherent accumulation

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图 3 不同算法检测多目标结果

Figure 3. Results of detecting multi-target using different algorithms

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图 4 运动参数RMSE比较

Figure 4. RMSE comparison of motion parameter

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图 5 计算复杂度比较

Figure 5. Comparison of computational complexity

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图 6 不同算法检测性能比较

Figure 6. Comparison of detection performance of different algorithms

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表 1 目标的运动参数

Table 1. Motion parameters of target

目标初始径向距离/km 径向速度/(m·s⁻¹) 径向加速度/(m·s⁻²)

A 149.5 600 50

B 150 500 40

C 150.5 800 80

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表 2 不同算法的计算复杂度比较

Table 2. Computational complexity comparisons between different algorithms

算法计算复杂度搜索维度

GRFT算法 O(NN_dN_vN_a) 三维搜索

本文算法 O(NN_vN_a) 二维搜索

迭代ACCF算法 O(Nlog₂N_d) 无须搜索

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