Title :
The Algorithm for Deep-Space Weak Signal Tracking Using a Modified Kalman Filter
Author :
Wang, Aihua ; Dong, Wenchao ; Shen, Yebing
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
In Deep-space TT&C and communication, the received signal is very weak, so the traditional Kalman Filter is hard to track the signal accurately. In this paper, a modified Kaman Filter using least squares (LS) method is presented to address this issue. This method is good at tracking amplitude, phase, frequency and its time derivatives of frequency (the signal with low carrier acquisition threshold and high dynamic). Computer simulation shows that the lower carrier power -157dBm can be achieved with this method.
Keywords :
Kalman filters; least squares approximations; target tracking; amplitude tracking; deep-space TT&C; deep-space weak signal tracking; frequency tracking; least squares method; low carrier acquisition threshold; modified Kalman filter; phase tracking; Equations; Estimation; Frequency estimation; Kalman filters; Mathematical model; Time frequency analysis; Time measurement;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040123
