Target Signal Extraction Method Based on Enhanced ICA with Reference
Liuyang Gao, Nae Zheng, Yinghua Tian, Jingzhi Zhang · Mathematical Problems in Engineering · 2019
Target signal extraction has a great potential for applications. To solve the problem of error extraction of target signals in the current constrained independent component analysis (cICA) method, an enhanced independent component analysis with reference (EICA‐R) method is proposed. The new algorithm establishes a unified cost function, which combines the negative entropy contrast function and the distance metric function. The EICA‐R method transforms the constrained optimization problem into unconstrained optimization problem to overcome the problem of threshold setting of distance metric function in constrained optimization problem. The theoretical analysis and simulation experiment show that the proposed EICA‐R algorithm overcomes the problem of the error extraction of the existing algorithm and improves the reliability of the target signal extraction.