This paper focuses on the spatial registration algorithm under the earth-centered earth-fixed (ECEF)
coordinate system for multiple mobile platforms. The sensor measurement biases are discussed with the platform
attitude information taken into consideration. First, the biased measurement model is constructed. Besides, the
maximum likelihood registration (MLR) algorithm is discussed to simultaneously estimate the measurement biases
and the target state. Finally, an improved online MLR (IMLR) algorithm is proposed through a sliding window
of adaptive size. Simulation results demonstrate that the proposed IMLR algorithm effectively improves the realtime
ability of the system and can approach similar estimation accuracy to the conventional MLR algorithm.
LÜ Runyan (吕润妍), PENG Na (彭娜), WU Yi (吴怡), CAI Yunze∗ (蔡云泽)
. Improved Spatial Registration Algorithm for Sensors on Multiple Mobile Platforms[J]. Journal of Shanghai Jiaotong University(Science), 2022
, 27(5)
: 638
-648
.
DOI: 10.1007/s12204-022-2457-y
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