Research on Electromagnetic Interference Canceller Based on Improved Least Mean Square

In this paper, a novel adaptive interference cancellation algorithm for non-stationary random signal filtering is proposed. An intelligent Electromagnetic Interference measurement system based on Empirical Mode Decomposition (EMD) analysis is designed. the complex electromagnetic radiation signal is decomposed into different natural mode functions by empirical mode decomposition (EMD), which represent signals with different frequency. An improved least mean square (LMS) algorithm is applied to adaptive interference cancellation. The results show that this method has better noise cancellation ability than the traditional adaptive noise cancellation method. At the same time, the new adaptive interference cancellation technology improves the speed and accuracy of electromagnetic radiation measurement. Therefore, it can be introduced into engineering application. Compared with other traditional instruments and manual testing, the system improves the testing efficiency and has good scalability