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A Cyclostationarity Based Iterative Algorithm for Chirp Signal Phase ParAmeter Estimation |
Jin Yan; Ji Hong-bing |
School of Electronic Engineering, Xidian Univ., Xi’an 710071, China |
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Abstract The problem of estimating the phase parameters of chirp signals embedded in noise is concerned in this paper. The computationally efficient cyclostationary estimation method is introduced, and in order to avoid its disadvantages, an iterative estimation algorithm based on cyclostationarity is proposed. The main characteristics of the proposed algorithm include low calculation complexity inherited from the cyclostationary method, reduction in error propagation effect, increase in estimation accuracy, and operation over a wider range of phase parameter values. Simulation results demonstrate that the new iterative algorithm has better performance as compared with the conventional cyclostationary estimation method.
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Received: 18 September 2006
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