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- Title
A Computationally Efficient Iterative Algorithm for Estimating the Parameter of Chirp Signal Model.
- Authors
Jiawen Bian; Jing Xing; Zhihui Liu; Lihua Fu; Hongwei Li
- Abstract
Theparameter estimation of Chirp signalmodel in additive noises when all the noises are independently and identically distributed (i.i.d.) has been considered. A novel iterative algorithm is proposed to estimate the frequency rate of the considered model by constructing the iterative statistics with one-lag and multilag differential signals. It is observed that the estimator for the iterative algorithm is consistent and works quite well in terms of biases and mean squared errors. Moreover, the convergence rate of the estimator is improved from Qp (N-1) of the initial estimator to Qp (N-3/2) for one-lag differential signal condition and from Qp (N-2) of the initial estimator to Qp (N-5/2) for multilag differential signal condition, respectively, by only three iterations. The range of the lag is discussed and the optimal lag is obtained for the multilag differential signal condition when the lag is of order N. The estimator of frequency rate with optimal lag is very close to Cramer-Rao lower bound (CRLB) as well as the asymptotic variance of least-squares estimator (LSE) at moderate signal-to-noise ratio (SNR). Finally, simulation experiments are performed to verify the effectiveness of the algorithm.
- Subjects
ITERATIVE methods (Mathematics); ALGORITHMS; PARAMETER estimation; MATHEMATICAL models of signal processing; STOCHASTIC convergence
- Publication
Journal of Applied Mathematics, 2014, p1
- ISSN
1110-757X
- Publication type
Article
- DOI
10.1155/2014/903426