一种基于循环平稳的Chirp信号相位参数估计迭代算法
doi: 10.3724/SP.J.1146.2006.01412
A Cyclostationarity Based Iterative Algorithm for Chirp Signal Phase ParAmeter Estimation
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摘要: 该文研究了噪声中Chirp信号相位参数的估计问题，介绍了计算简便的循环平稳法，并针对其缺陷，提出了一种基于循环平稳的迭代估计算法。该迭代算法保持了循环平稳法计算复杂度低的优点，且降低了误差传递效应，提高了相位参数估计精度，增大了可估计的相位参数取值范围。仿真结果表明，所提出的参数估计迭代算法的性能优于普通的循环平稳法。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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