| 摘要: |
| 反辐射导弹为了对抗目标雷达关机，一般采用被动定位算法对目标雷达进行定位。有关被动定位算法的研究多以测角噪声的统计特性已知、被动雷达测量信息无间断为基础，对工程实践中存在的测角噪声统计特性未知且被动测量误差间断的情况少有涉及。针对该问题，提出了采用自适应无迹卡尔曼滤波（Adaptive Unscented Kalman Filter，AUKF）算法对噪声统计特性进行实时估计，并结合间断信息时递推滤波的改进的被动定位方法。仿真结果表明，在测角误差特性时变和测量信息间断情况下，该被动定位方法精度远优于常规UKF方法。 |
| 关键词: 反辐射导弹 被动定位 抗雷达关机 自适应无迹卡尔曼滤波 |
| DOI： |
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| 基金项目: |
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| An Improved Passive Location Method Using Adaptive Unscented Kalman Filter |
| YE Jun |
| (Southwest China Institute of Electronic Technology，Chengdu 610036，China) |
| Abstract: |
| In order to counter radar shutdown，the passive location algorithm is used to locate target radar in anti-radiation missile traditionally.Most research on passive location algorithm has been conducted well,in which statistical characteristics of noise are known and the radar measurement information is continuous.However,the statistical characteristics of noise are unknown and the passive measurement error is discontinued in reality.For this problem,an improved passive location method is proposed based on adaptive unscented Kalman filter (AUKF),which estimates noise statistical characteristics by time-varying noise estimator and uses recursive filter when measurement information is discontinuous.The simulation results show that the proposed method has much more location accuracy than conventional unscented Kalman filter(UKF). |
| Key words: anti-radiation missile passive location against radar′s shutdown adaptive unscented Kalman filter |
