Simulation of various adaptive techniques in wireless: A comprehensive view

In this paper, we have analyzed the simulation of various adaptive techniques used in wireless communication as a comprehensive view. For this analysis we have derived the algorithm for least mean square (LMS), recursive least square (RLS) and minimum mean square error (MMSE). These adaptive filtering techniques are the best way to mitigate the effect of interference in a communication system. As the power of digital signal processors has increased, adaptive filters have become much more common and are now routinely used in devices such as mobile phones and other communication devices, camcorders and digital cameras, and medical monitoring equipment. Moreover, we have performed the simulation of LMS and RLS algorithm with their error rejection. We, hope that this paper will help both academic as well as industry research by providing the various adaptive techniques at one place along with their simulation result.