AN ADAPTIVE CUBATURE KALMAN FILTER ALGORITHM FOR PASSIVE LOCATION

被引：3
|
作者：
Peng Haojie [1 ]
Zhang Jie [2 ]
Shi Weisheng [2 ]
机构：
[1] Northwest Polytech Univ, Sch Aeronaut, Xian 710000, Peoples R China
[2] Chengdu Aircraft Design & Res Inst, Chengdu 610000, Peoples R China
来源：
2020 17TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2020年
关键词：
Electronic support measures; Interacting multiple model; Cubature kalman filter; Adaptive cubature kalman; Aircraft; Residual; Innovation; Root mean square error;
D O I：
10.1109/ICCWAMTIP51612.2020.9317500
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Modern stealth fighters usually keep the radar silent during the flight mission. In order to ensure the stealth performance, the integrated electronic warfare system generally uses the electronic support measures for passive detection. It locks the target's position by receiving radiation from the target sensor. In this paper, the aircraft flight maneuver model is established. The interactive multiple model is used to describe the motion state of aircraft. Residual and innovation is used improve cubature kalman filter to adaptive cubature kalman filter. Cubature kalman filter and adaptive cubature kalman filter were used for filtering respectively, and compared the effect. Then analyzed their root mean square error.
引用
收藏
页码：420 / 423
页数：4
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