2017 IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2017)

218 / 2017-01-13 10:32:45

Adaptive Channel Estimation in MIMO-OFDM for Indoor and Outdoor Environments

12411,12412,12413,12414

With the rapid change in the wireless communication technologies, there is always a demand for higher data rate, improved system capacity and service quality. To find out a solution to meet these challenges, channel modeling and the estimation of a channel play a vital role in the communication system design. However, due to the adverse effects of channel fading and the Doppler shifts caused by user mobility, channel modeling, and the channel estimation are quite difficult. Adaptive modeling for indoor and outdoor channels is an efficient approach to track the time-varying and the fading behavior of the channels. This paper addresses the problem of channel estimation in a MIMO-OFDM environment with different indoor and outdoor channel models. The performance of the adaptive estimation of the channel model is evaluated through comparison results with the inclusion of sparsity and block processing to conventional Least Mean Square (LMS) algorithm.