A novel approach in blind estimation of MIMO channels using Bussgang algorithm

It is of great interest to provide high capacity services in wireless communications systems. Many researchers have been interested in multiple-input-multiple-output (MIMO) wireless systems that guarantee achievement of such a goal. One of the great challenges regarding MIMO channels is to find channel characteristics by estimating the impulse response that varies by time. In this paper, a novel scheme using a blind algorithm is presented to estimate the response of a MIMO channel. To the best of our knowledge, it is the first time that the Bussgang algorithm has been used to estimate the channel. This novel method profits from the basic idea of the Bussgang deconvolution algorithm, first proposed by Bellini (1988). This algorithm is iterative, completely self-tuning, and has a practical low-complexity structure. Computer simulations are presented to confirm the robustness of the analysis and illustrate the acceptable performance of this new approach by considering its tracking behavior, BER, stability, and also its low complexity.