DocumentCode :
3447741
Title :
A modified exact maximum likelihood registration algorithm
Author :
Yunlong, Dong ; You, He ; Guohong, Wang
Author_Institution :
Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst., Yantai, China
fYear :
2004
fDate :
1-4 Nov. 2004
Firstpage :
85
Lastpage :
88
Abstract :
The registration problem is a prerequisite process for radar networking systems to estimate and correct systematic errors accurately. An exact maximum likelihood (EML) registration algorithm was presented in the literature (Zhou Yifeng et al, IEEE Trans. Sigpro., vol.45(6), p.1560-1572, 1997), which incorporates the effects of measurement noise. Although this algorithm is superior to some classical registration algorithms, we find its likelihood function is not exact. A novel modified maximum likelihood (MEML) registration algorithm is presented, which is superior to the EML registration algorithm, with an exact likelihood function. Finally, simulated data are used to evaluate the performance of the two algorithms.
Keywords :
maximum likelihood estimation; measurement uncertainty; radar theory; sensor fusion; EML registration algorithm; MEML; exact likelihood function; exact maximum likelihood registration algorithm; measurement noise effects; multisensor fusion; radar networking systems; systematic error correction; Azimuth; Covariance matrix; Density functional theory; Error correction; Helium; Least squares approximation; Maximum likelihood estimation; Noise measurement; Radar; Wide area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Electromagnetics and Its Applications, 2004. Proceedings. ICCEA 2004. 2004 3rd International Conference on
Print_ISBN :
0-7803-8562-4
Type :
conf
DOI :
10.1109/ICCEA.2004.1459295
Filename :
1459295
Link To Document :
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