Direction of Arrival and Least Square Error Technique Used in Massive Mimo for Channel Estimation

Massive multiple-input multiple-output (MIMO) technology is one of the prominent candidate for next generation wireless communica- tion networks; i.e., 5G. Massive MIMO systems are integrated with the array antenna technology to enhance the performance of future networks. This paper investigates two channel estimation methods,namely the least square error (LSE) and the multiple signal classifica- tion (MUSIC) algorithm for direction of arrival (DoA). A mathemati- cal model is designed for the channel estimation using both techniques (LSE and MUSIC). Moreover, the performance of these techniques is compared for different parameters such as number of array elements, number of snapshots, transmitter array response pattern and signal to noise ratio (SNR). The impact of SNR on bit error rate (BER) performance is analyzed. By varying these elements, we found that there is a significant change in the accuracy and resolution of MUSIC algorithm for DOA estimation.