Localization and velocity estimation based on multiple bistatic measurements

被引:0
作者
Woischneck, Sebastian [1 ]
Fraenken, Dietrich [1 ]
机构
[1] HENSOLDT Sensors, D-89077 Ulm, Germany
来源
2020 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI) | 2020年
关键词
TARGET LOCALIZATION;
D O I
10.1109/mfi49285.2020.9235256
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper discusses algorithms that can be used to estimate the position and possibly in addition the velocity of an object by means of bistatic measurements. Concerning position-only estimation based on bistatic range measurements, improved versions of an approximate maximum-likelihood estimator will be introduced and compared with methods known from literature. The new estimators will then be extended to also estimate velocity based on additional range-rate measurements. Simulation results confirm that the proposed estimators yield errors close to the Cramer-Rao lower bound.
引用
收藏
页码:394 / 399
页数:6
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