Title :
Signal reconstructing least-squares algorithm for chirp signal parameters estimation
Author :
Zhou, Liangchen ; Yang, Jianyu ; Tang, Bin ; Li, Nanjun
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this paper, we proposed signal reconstructing least-square (SRLS) technique for estimating the chirp rate and initial frequency of chirp signal. The technique is simplicity, accuracy, and ease of on-line or off-line implementation. At low input signal-to-noise ratio, the estimates are unbiased and achieve Cramer- Rao bound (CRB). Simulation demonstrated the effectiveness and peformance.
Keywords :
least squares approximations; parameter estimation; signal reconstruction; Cramer-Rao bound; chirp signal parameters estimation; signal reconstructing least-squares algorithm; signal-to-noise ratio; Chirp; Covariance matrix; Frequency estimation; Maximum likelihood estimation; Parameter estimation; Phase estimation; Phase noise; Radar signal processing; Signal to noise ratio; Time frequency analysis;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.346015
