Title :
LS and TLS in bearing-only target tracking
Author :
Yang, Chang Hong
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
Passive position location of a stationary emitter from bearing-only measurements is a classical navigation problem. In this paper, by exploiting the total least-square (TLS) and least-square (LS) solution, the two algorithms estimate target motion parameters, using zero mean Gauss white noise. The performance of LS and TLS algorithms are evaluated in Monte-Carlo simulations and results are shown.
Keywords :
Gaussian noise; Monte Carlo methods; least squares approximations; navigation; parameter estimation; target tracking; Monte-Carlo simulations; bearing-only target tracking; passive position location; stationary emitter; target motion parameters; total least squares algorithm; white Gaussian noise; Aircraft; Equations; Motion estimation; Motion measurement; Motion planning; Noise measurement; Parameter estimation; Position measurement; Target tracking; Vectors;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279405
