Reduction of Computational Complexity in Adaptive Estimation of Multi-path Non-stationary Channels
AbstractThe operation of a wireless system depends on obtaining an accurate estimation of the channel. Moreover, the cyclical changes of the system resulting from a nonsyncronousness of the receiver and transmitter carrier frequencies can affect the operation of the estimator that is used to estimate channel parameters. The adaptive filters techniques are suitable for detecting this carrier frequency offset and channel changes in mobile communication receivers. Studies of the operation of adaptive filter algorithms to estimate the ability of non-stationary channel algorithms have always been a lively research area. This study uses QAM in analyzing MIMO-OFDM system operation to show that system operation has improved. A review of the results from simulations reveals that this procedure has significantly reduced computational complexity while having maintained system operation using low-pass filtering in time domain to reduce the effects of inter-symbol interference and noise in each cycle. Simulated results show that this is a very useful method to use in next generation wireless and modern cellphone (4G) systems.
How to Cite
Moradmand, V., Emami, H., & Ashourian, M. (2017). Reduction of Computational Complexity in Adaptive Estimation of Multi-path Non-stationary Channels. Majlesi Journal of Telecommunication Devices, 6(1). Retrieved from http://journals.iaumajlesi.ac.ir/td/index/index.php/td/article/view/396