一种对抗欺骗式干扰的组网雷达功率分配方法

于恒力 1; 张林让 1; 刘洁怡 1; 李强 1; 赵珊珊 2

doi:10.7652/xjtuxb201912018

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一种对抗欺骗式干扰的组网雷达功率分配方法

更新时间：2025-07-09

- 一种对抗欺骗式干扰的组网雷达功率分配方法
- A Power Allocation Approach of Netted Radars for Anti-Deception Jamming
- 西安交通大学学报 2019年53卷第12期页码：139-145
- 作者机构：
  
  西安电子科技大学雷达信号处理国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
  
  : 2019-03-13。作者简介: 于恒力(1993—),男,博士生;张林让(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(61671361,61801233);江苏省自然科学基金资助项目(BK20170911)
- DOI：10.7652/xjtuxb201912018
  中图分类号： TN957
- 网络首发：2019-12-10，
  
  纸质出版：2019
- 稿件说明：
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于恒力 1, 张林让 1, 刘洁怡 1, 等. 一种对抗欺骗式干扰的组网雷达功率分配方法[J]. 西安交通大学学报, 2019,53(12):139-145.

A Power Allocation Approach of Netted Radars for Anti-Deception Jamming[J]. 2019, 53(12): 139-145.
于恒力 1, 张林让 1, 刘洁怡 1, 等. 一种对抗欺骗式干扰的组网雷达功率分配方法[J]. 西安交通大学学报, 2019,53(12):139-145. DOI： 10.7652/xjtuxb201912018.

A Power Allocation Approach of Netted Radars for Anti-Deception Jamming[J]. 2019, 53(12): 139-145. DOI： 10.7652/xjtuxb201912018.

摘要

针对现有组网雷达发射站等功率发射信号导致抗欺骗式干扰方法不能获得最高鉴别概率的问题

提出一种对抗欺骗式干扰的组网雷达功率分配方法。首先

在现有组网雷达的参数估计模型中增加了发射站的功率信息

推导了对欺骗距离参数估计的克拉美洛下界(CRLB)

计算得到鉴别器中欺骗式假目标的鉴别概率; 然后

以最大化假目标鉴别概率为目标

设计功率分配模型

完成欺骗式干扰下组网雷达功率分配方法的设计。仿真实验表明

相比于现有文献中功率平均分配的算法

所提出的功率分配方法可保证将更多的功率资源分配到目标空间角度差异大及回波信号路径损失较低的发射站

有效提高组网雷达系统对假目标的鉴别概率

尤其在系统资源有限的约束下

鉴别概率提高了10%以上。

Abstract

A method of power allocation approach of netted radars for anti-deception jamming is proposed for making full use of the limited resource. Firstly

the Cramer-Rao lower bound of the deception range is derived according to the parameter estimation model of netted radars under the deception jamming

and a theoretical discrimination probability of deception targets is then given. Secondly

a power allocation approach is derived to maximi-e the discrimination probability of deception targets. Finally

simulation results and a comparison with the equal power allocation method show that the proposed power allocation method allocates more power resources to the transmitting stations with large difference in target space angle and low loss of echo signal path

and the discrimination probability to deception targets is effectively improved

especially

the discrimination probability increases by more than 10% under the constraints of limited system resources.

关键词

Keywords

references

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