电光与控制, 2019, 26 (7): 36, 网络出版: 2021-01-31
基于WOA和PCA的盲信号提取算法
A Blind Signal Extraction Algorithm Based on WOA and PCAC
信号处理 盲信号提取 鲸鱼优化算法 主成分分析 signal processing blind signal extraction Whale Optimization Algorithm(WOA) Principal Component Analysis(PCA)
摘要
针对线性混叠信号中独立源的盲提取问题,提出一种基于鲸鱼优化和主成分分析的有序盲提取算法。该算法以信号峰度绝对值大小作为目标函数,利用鲸鱼优化算法计算抽取向量,同时利用主成分分析对混合信号降维,去除混合信号中存在的关于已提取信号的成分,从而按照源信号峰度顺序进行盲提取。仿真实验表明,提出的算法对盲信号提取是有效的,而且提取精度是较高的,有一定的实际应用价值。
Abstract
Aiming at the blind extraction of independent sources in linear aliasing signals, this paper proposes an ordered blind extraction algorithm based on Whale Optimization Algorithm(WOA) and Principal Component Analysis(PCA). The algorithm takes the absolute value of the signal kurtosis as the objective function, uses the WOA to calculate the decimation vector, and PCA to reduce the dimension of the mixed signal for removing the components of the extracted signal existing in the mixed signal.Thus the blind extraction is implemented in the order of the source signal kurtosis. Simulation experiments show that the proposed algorithm is effective for extracting blind signals, and the extraction accuracy is high, which has certain practical application value.
褚鼎立, 陈红, 王旭光. 基于WOA和PCA的盲信号提取算法[J]. 电光与控制, 2019, 26(7): 36. CHU Dingli, CHEN Hong, WANG Xuguang. A Blind Signal Extraction Algorithm Based on WOA and PCAC[J]. Electronics Optics & Control, 2019, 26(7): 36.