Articles

Mobile Platform Sensor Registration Algorithm Based on MLR

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  • Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China

Received date: 2011-04-22

  Revised date: 2011-05-05

  Online published: 2012-01-16

Abstract

A maximum likelihood registration of mobile sensor (MLRM) algorithm is proposed in this paper to estimate sensor bias and target state off-line, and it is capable of batch processing. This algorithm is based on the maximum likelihood registration (MLR) algorithm for fixed platform sensor registration and aimed at solving the issue of attitude angle bias that exists in a mobile platform. The MLRM algorithm realizes effective estimate of measurement, attitude angle bias and target state by projection sensor measurements onto target state space, iteration of the maximizing expectation of sensor bias and target state and fusion target state estimation using the measurements from all sensors. The simulation result shows that the algorithm has fast convergence rate, high estimate precision of sensor bias and strong adaptability to low observability environment of bias, insensitivity to correlation between attitude and strong engineering practicability.

Cite this article

CUI Yaqi, XIONG Wei, HE You . Mobile Platform Sensor Registration Algorithm Based on MLR[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012 , 33(1) : 118 -128 . DOI: CNKI:11-1929/V.20111213.1132.001

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