基于PAST处理的机载双基雷达自适应角度-多普勒补偿算法

赵军; 田斌; 朱岱寅

doi:10.12000/JR17053

基于PAST处理的机载双基雷达自适应角度-多普勒补偿算法

DOI: 10.12000/JR17053

赵军^1,2, ,,
田斌^3,,
朱岱寅^1,

①.
南京航空航天大学电子信息工程学院南京 210016
②.
空军第一航空学院信阳 464000
③.
西安电子工程研究所西安 710100

基金项目: 国家自然科学基金（61671240）

详细信息

作者简介:
赵　军(1974–)，男，河南新蔡人，现为南京航空航天大学博士后，副教授，主要研究方向为空时自适应处理。E-mail: happyzj112@163.com

田　斌(1983–)，男，陕西周至人，现为西安电子工程研究所高级工程师，主要研究方向为雷达系统设计。E-mail: tianbin218@163.com

朱岱寅(1974–)，男，江苏无锡人，现为南京航空航天大学电子信息工程学院教授，博士生导师，IEEE会员，主要研究方向为雷达成像和信号处理。E-mail: zhudy@nuaa.edu.cn

通讯作者:
赵军 happyzj112@163.com

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出版历程
- 收稿日期: 2017-05-17
- 修回日期: 2017-06-21
- 网络出版日期: 2017-12-28

Adaptive Angle-Doppler Compensation Method for Airborne Bistatic Radar Based on PAST

Zhao Jun^{1,2
, ,},
Tian Bin^3
,,
Zhu Daiyin^1
,

①.
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
②.
The First Aeronautical Institute of Air force, Xinyang 464000, China
③.
Xi’an Electronic Engineering Research Institute, Xi’an 710100, China

Funds: The National Natural Science Foundation of China (61671240)

摘要

摘要:
自适应角度-多普勒补偿算法根据样本数据本身来自适应地估计补偿参数，从而避免惯导系统误差造成的补偿性能下降问题，但该算法必须对杂波协方差矩阵进行估计和特征分解，运算量巨大。针对这一问题，该文研究了基于近似投影子空间跟踪(PAST)处理的自适应角度-多普勒补偿算法，该方法先采用循环迭代处理快速估计出各距离单元主特征向量谱中心的位置参数，避免了矩阵特征分解带来的运算负担，然后通过补偿使得各单元的谱中心重合。仿真结果表明，该方法能有效解决机载双基雷达杂波非均匀问题，其性能与基于特征分解算法相当，但运算量显著降低，便于工程实现。
- 机载双基雷达 /
- 近似投影子空间跟踪 /
- 自适应角度多普勒补偿 /
- 空时自适应处理
Abstract:
The adaptive angle-Doppler compensation method adaptively extracts requisite information based on the data itself, thereby avoiding the problem of performance degradation due to inertial system error. However, this method requires the estimation and eigen decomposition of a sample covariance matrix, which has high computational complexity and limits its real-time application. In this paper, we investigate an adaptive angle-Doppler compensation method based on Projection Approximation Subspace Tracking (PAST). This method uses cyclic iterative processing to quickly estimate the positions of the spectral center of the maximum eigenvector in each range cell, thereby avoiding the computational burden of matrix estimation and eigen decompositon. Then, the spectral centers of all range cells are overlapped by two-dimensional compensation. Our simulation results demonstrate that the proposed method can effectively reduce the nonhomogeneity of airborne bistatic radar, with a performance is similar to that of eigen-decomposition algorithms, but with a reduced computational load and easy implementation.
- Airborne bistatic radar /
- Projection Approximation Subspace Tracking (PAST) /
- Adaptive angle-Doppler compensation /
- Space Time Adaptive Processing (STAP)

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图 1 机载双基雷达几何结构图

Figure 1. Geometry of airborne bistatic radar

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图 2 机载双基雷达典型几何配置图

Figure 2. Typical cases of airborne bistatic radar geometry

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图 3 典型几何配置下机载双基雷达杂波功率谱

Figure 3. Clutter power spectrum of airborne bistatic radar geometry in typical cases

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图 4 PA²DC算法流程图

Figure 4. Flow chart of PA²DC method

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图 5 PA²DC算法主特征矢量杂波谱中心估计

Figure 5. Clutter spectrum peak estimation of PA²DC method

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图 6 PA²DC算法谱中心估计的均方根误差

Figure 6. RMS of clutter spectrum peak estimation based on PA²DC method

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图 7 PA²DC算法杂波功率谱比较

Figure 7. Clutter power spectrum comparison

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图 8 PA²DC算法改善因子比较

Figure 8. Improve factor comparison

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表 1 雷达仿真参数

Table 1. Simulation parameters for radar

参数名称	参数数值
接收阵元数	N=10
相干处理脉冲数	K=10
脉冲重复频率(Hz)	f_r=2234
基线距离(km)	L=100
双基距离和(km)	R_s=153
发射平台高度(km)	H_T=8
接收平台高度(km)	H_R=6
发射机速度(m/s)	v_T=140
接收机速度(m/s)	v_R=140
雷达工作波长(m)	λ=0.23
阵元间距	d=λ/2
单元输入杂噪比(dB)	CNR=50

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