DocumentCode :
1894410
Title :
Adaptive recovery of a Doppler shifted mobile communications signal using the RLS algorithm
Author :
Wei, Peifei ; Zeidler, James R. ; Ku, W.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume :
2
fYear :
1994
fDate :
31 Oct-2 Nov 1994
Firstpage :
1180
Abstract :
This paper studies the ability of the exponentially weighted RLS algorithm to track a Doppler shifted BPSK communications signal. This is modeled as a chirped AR1 process in Gaussian white noise. Expressions for the optimum Wiener filter, noise misadjustment, and lag misadjustment are shown. It is shown that as in the chirped sinusoid case the error can be written in terms of the forgetting rate β=1-λ of the RLS algorithm; the noise misadjustment is of the order β and lag misadjustment of order 1/β2. However, as the bandwidth of the signal increases the relative lag misadjustment is shown to decrease
Keywords :
Doppler effect; Doppler shift; Wiener filters; adaptive filters; adaptive signal processing; autoregressive processes; filtering theory; land mobile radio; least mean squares methods; phase shift keying; radiowave propagation; recursive estimation; white noise; BPSK communications signal; Doppler shifted mobile communications signal; Gaussian white noise; adaptive filter; adaptive signal recovery; chirped AR1 process; chirped sinusoid; error; exponentially weighted RLS algorithm; forgetting rate; lag misadjustment; noise misadjustment; optimum Wiener filter; signal bandwidth; Adaptive filters; Algorithm design and analysis; Bandwidth; Binary phase shift keying; Chirp; Frequency; Mobile communication; Performance analysis; Resonance light scattering; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-6405-3
Type :
conf
DOI :
10.1109/ACSSC.1994.471645
Filename :
471645
Link To Document :
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