Title :
Some improvements in the HMM based multiple frequency line tracking algorithms
Author :
Xie Xianya ; Qiang, Zhu ; Huangrun, Li
Author_Institution :
Sch. of Autom., Shanghai Univ., China
Abstract :
The authors propose some effective measures to improve the hidden Markov model (HMM) based multiple frequency line tracking algorithms. These measures include a simple way to estimate the amplitude of the sinusoidal signal and include a way to reduce the computational burden of the multiple frequency line tracking algorithms. These are supported by simulations
Keywords :
amplitude estimation; computational complexity; hidden Markov models; tracking; HMM; amplitude estimation; computational complexity reduction; hidden Markov model; multiple frequency line tracking algorithms; sinusoidal signal; Amplitude estimation; Computational modeling; Frequency conversion; Frequency estimation; Frequency measurement; Hidden Markov models; Radar tracking; Signal processing; Signal to noise ratio; State estimation;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567112
