TY - GEN
T1 - The algorithm for Deep-space weak signal tracking using a modified Kalman Filter
AU - Wang, Aihua
AU - Dong, Wenchao
AU - Shen, Yebing
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Deep-Space
KW - Least squares
KW - Modified Kalman Filter
KW - Track
KW - Weak signal
UR - http://www.scopus.com/inward/record.url?scp=80054912898&partnerID=8YFLogxK
U2 - 10.1109/wicom.2011.6040123
DO - 10.1109/wicom.2011.6040123
M3 - Conference contribution
AN - SCOPUS:80054912898
SN - 9781424462520
T3 - 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
BT - 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
T2 - 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
Y2 - 23 September 2011 through 25 September 2011
ER -