Application Analysis of RLS Adaptive Filter in Signal Noise Removing and Simulation

In the process of digital signal processing, the random signal, noise and time-varying signal must be dealt with. The adoption of digital filters with fixed coefficient can not realize the optimized filter. Therefore it is necessary to design an adaptive filter to track the changes of the signal and noise in order to realize optimal filtering. This paper introduces the structure and principle of adaptive filters. Recursive Least Square (RLS) Algorithm, presents the implementation of simulation in the software simulator of a 32-order adaptive filter which is designed in MATLAB environment. The emulational result shows that the 32-order adaptive filter can remove the noise very well.