Abstract
A novel intelligent computation mechanism is proposed for the estimation of channel state information in MIMO architecture. In this computing technique, the global optimizer Pattern Search algorithm is used to find the accurate channel state information which is based on coefficients of the channel matrix. The pattern search algorithm is exploited for the square channel matrix which consists of an equal number of array elements at both transmitter and receiver end of the communication system. Rayleigh fading channel modeling is explored in this work for evaluating the response of received signal over channel matrix of different dimensions. Also, two cases of measured white Gaussian noise are applied for evaluating the trend of algorithm which are without noise and 20 dB of noise. A Mean Square Error based evaluation function is formulated for assessing the true response of channel coefficients with the estimated one. This error function is effective enough to reach the best coefficient with only one symbol. The efficiency and performance of the pattern search algorithm are examined with different types of analysis like accuracy, convergence, and computational complexity on the bases of statistical parameters. A sufficient number of absolute Monte-Carlo simulations are practiced for the extensive statistical study of the proposed algorithm.
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