A Novel Single Observer Passive Localization Method for Radar

WANG Yingnan; YU Jianyu; MA Ruofei; CHANG Yuyang

doi:10.12382/bgxb.2025.0139

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A Novel Single Observer Passive Localization Method for Radar

更新时间：2026-04-24

- A Novel Single Observer Passive Localization Method for Radar
- Acta Armamentarii Vol. 47, Issue 3, Pages: 250139(2026)
- 作者机构：
  
  西安电子工程研究所，陕西西安 710100
  西北工业大学自动化学院，陕西西安 710072
- 作者简介：
- 基金信息：
- DOI：10.12382/bgxb.2025.0139
  CLC： TN958.97;TN971
- Received：03 March 2025，
  
  Online First：04 January 2026，
  
  Published：2026-03
- 稿件说明：
移动端阅览
WANG Yingnan, YU Jianyu, MA Ruofei, et al. A Novel Single Observer Passive Localization Method for Radar[J]. Acta Armamentarii, 2026, 47(3): 250139.
DOI：

WANG Yingnan, YU Jianyu, MA Ruofei, et al. A Novel Single Observer Passive Localization Method for Radar[J]. Acta Armamentarii, 2026, 47(3): 250139. DOI： 10.12382/bgxb.2025.0139.

摘要

雷达单站无源定位具有隐蔽性强、设备简易及成本低廉等特点，在现代国防与战争领域具备良好应用前景。现有利用相位差变化率的雷达单站无源定位方法，需要测量出角度信息，或者采用两条基线解出方位角后再对目标进行定位。针对上述情况，提出一种基于改进遗传-粒子群优化的雷达单站无源定位方法。通过卡尔曼滤波获得相位差变化率，进一步利用改进遗传-粒子群优化算法得到定位初值，再采用非线性最小二乘法获得精确定位，相比于传统方法，具有无需额外角度信息的优点。通过仿真绘制了定位性能曲线，定位误差曲线和定位误差几何分布曲线。仿真结果表明：所提方法在5～35 GHz频率、0.1°/s～3°/s相位差变化率误差条件下表现优异，对50 km内固定及25 km/h以下低速移动目标定位精度高，在观测平台低动态运动场景中适应性良好，相较于传统方法具有更高的稳定性与定位精度，可为工程应用提供可靠支撑。

Abstract

Single observer passive localization is characterized by strong concealment

simple equipment and low cost

thus boasting promising application prospects in the fields of modern national defense and warfare. The existing single observer passive localization methods based on the phase difference rate of change require measuring angular information

or using two baselines to determining the azimuth angle before positioning. In response to the above situation

a single observer passive localization method based on improved genetic-particle swarm optimization is proposed. This method obtains the phase difference rate of change through Kalman filtering. Furthermore

it uses the improved genetic-particle swarm optimization algorithm to obtain the initial positioning values

and then adopts the nonlinear least square method to achieve precise positioning. Compared with traditional methods

this method has the advantage of not requiring additional angular information. The positioning performance curve

positioning error curve and geometry dilution of precision are plotted through simulation. Simulated results indicate that the proposed method exhibits excellent performance under the conditions of 5-35 GHz frequency and phase difference rate of change error ranging from 0.1°/s to 3°/s. It achieves high positioning accuracy for fixed targets within 50 km and low-speed moving targets traveling at less than 25 km/h

performs well in the low-dynamic motion scenarios of observation platform

and features higher stability and positioning accuracy compared with traditional methods

providing reliable support for engineering applications.

关键词

Keywords

references

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