Design and analysis of efficient adaptive equalizers for wireless communication application

In Wireless Communication, equalizer is used to inverse the bending caused by a signal transmitted through a channel. Need of equalization is to decrease the effects of Inter Symbol Interference (ISI) without suppression of signal, but the noise power enhancement should be prevented with this reduction of ISI. Hence there is a requirement of less complex, more efficient Adaptive equalizer which suppresses the error and increases the efficiency in communication channel. In this paper the algorithm for the adaptive equalizer is proposed and performance is compared with Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) algorithm using 3 parameters; speed, power and area. The proposed Hybrid filter is efficient compared to LMS, NLMS and RLS in speed of execution and area utilization. The power consumption of this hybrid filter is higher than the LMS, NLMS and lesser than RLS.