An Improved Time Delay Estimation Method Based on Generalized Cyclic Correntropy
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摘要: 针对同频带干扰及脉冲噪声并存的复杂电磁环境下现有时延估计算法性能退化的问题，该文引入双曲正切函数，提出一种改进的广义循环相关熵时延估计(HTGCCE)算法。首先指出脉冲噪声存在时广义循环相关熵算法的优势及性能退化的原因。然后利用双曲正切函数对其进行改进，以提高算法在脉冲噪声下的时延估计性能。仿真实验表明，提出的算法在脉冲噪声的特征指数较小、信噪比较低及信干比较低时仍保持很好的时延估计性能。Abstract: In complex electromagnetic environment, due to the impact of co-channel interference and impulsive noise, the performance of existing time delay estimation algorithms degrade severely. In this paper, an improved Generalized Cyclic Correntropy time delay Estimation (HTGCCE) algorithm is proposed by using the Hyperbolic Tangent function to address this degradation problem. Firstly, the performance degradation of generalized cyclic correntropy method is thoroughly analyzed and explained in impulsive noise. Then, based on the hyperbolic tangent function, an improved generalized cyclic correntropy method is proposed to improve the delay estimation performance under impulsive noise. Finally, the simulation results show that the proposed time delay estimation algorithm has an outstanding performance in impulsive noise, even with small characteristic component and low generalized signal-to-noise ratio.
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