LS Estimation: How to make it Robust against the Increase in Channel Order

Abstract

In the last few decades, a tremendous increase in the mobile data traffic was observed and the number of mobile subscribers will reach to 9.038 billion in 2020. In order to cope with extensive increase in the mobile data traffic, a spectrally efficient communication technique such as Orthogonal Frequency Division Multiplexing (OFDM) is a suitable candidate to be employed at the physical layer. In OFDM, the deterioration in bit error rate (BER) performance is caused by the multipath fading channel along with channel noise. Therefore, the channel estimation technique needs to be employed to minimize the degradation caused by the fading channel. A Least Square (LS) estimation is a type of estimation that does not utilize the statistics of the channel and can be employed to cancel out the degradation effects of the wireless channel. The deterioration in performance due to fading channel is proportional to the channel order. The performance of the LS estimation is susceptible to degradation proportional to the rise in order of the channel. This paper aims at making the performance of the LS estimator robust against the increase in channel order. Simulation results confirmed our modifications regarding the robustness of the LS estimation in OFDM system.