冲激噪声中的谐波恢复

Harmonic Retrieval in Impulsive Noise

谐波恢复是信号处理中的基本问题,在各种情况下的谐波恢复问题被广泛地研究了。SαS过程由于能很好地描述许多具有冲激特性的信号,因而受到了日益重视。文研究了复各向同性的白SαS噪声中的谐波恢复问题,利用SαS过程的性质,给出了一种基于子空间方法的频率估计算法。该算法与数据矩阵法和分数低阶矩法作了比较,仿真结果显示了所给算法的优越性。

Harmonic retrieval is a fundamental problem in signal processing .The problem of harmonic retrieval in various cases was studied extensively. Since S α S process can describe many signals with impulsive nature, it receives increasing attention. Harmonic retrieval in complex isotropic white S α S noise is studied in this paper. By using the properties of S α S process, a subspace-based algorithm for harmonic retrieval is proposed. Comparisons between the proposed method and other methods(the method of data matrix, the method of fractional lower order moment) have been made. Simulation results show the advantages of the proposed algorithm.