一种提取频移键控信号的独立分量分析算法

An independent component analysis algorithm to extract Frequency-Shift Keying signal

摘要:

针对传统自然梯度ICA算法对移频轨道电路FSK信号提取的不稳定和精确度受限问题，提出一种基于白化的变步长自然梯度ICA算法。仿真实验表明，相比于传统的自然梯度ICA算法，基于白化的变步长自然梯度ICA算法的串音误差曲线更平稳，稳态误差值更小，对FSK信号的检测和提取具有更稳定、准确的消噪性能。

Abstract:

Due to the instability and the limited precision of traditional natural gradient Independent Component Analysis(ICA) algorithm to extract frequency shift track circuit Frequency-Shift Keying(FSK) signals，a kind of variable step-size natural gradient ICA algorithm is proposed based on whitening. According to the orthogonal constraint satisfied by separation matrix during whitening process, a kind of single-step orthogonal correction instead of whitening process is introduced. Then，a kind of single-step error estimation function is put forward based on the generalized degree of approximation between the separation matrix of each iteration and the optimal separation matrix. A nonlinear function is designed based on whitening to be the step-size adjusting function according to this error estimation. Simulation experiments indicate that the variable step-size natural gradient ICA algorithm based on whitening bears more stable and accurate de-noising performance for the detection and extraction of FSK signals compared with traditional natural gradient ICA algorithm.