Adaptive LMS Based Channel Equalization

The main objective of this project is to suppress echoes arising from non-line-of-sight (NLOS) components in wireless communication systems. The increasingly popular use of mobile phones and other wireless communication products has provided the basis and demand for developing appropriate echo suppression techniques. In wireless communications, the channel has a typically long impulse response. Therefore, a ‘long’ filter model is required to reduce the noise or distortion generated. The Standard Least Mean Square (LMS) channel estimator is used as a basis to this project due to its relatively low computational, complexity, good stability properties, and relatively good robustness against implementation errors. The principles of LMS adaptive Equalizer are investigated, which uses the LMS channel estimator to estimate the NLOS components and subsequently suppress these components. All the results are shown through simulations performed in Matlab environment. The results demonstrated that the design approach investigated in this project is a promising alternative for suppressing distortion in wireless communication systems.