Modified minimized mean value-MMSE algorithm-based semi-blind channel estimator for MC-IDMA systems

The Multi-Carrier Interleave Division Multiple Access (MC-IDMA) scheme, which is a combination of Orthogonal Frequency Division Multiplexing and IDMA, has gained wide acceptance in wireless communication. This is due to the combined individual advantages from both schemes which include: highly efficiency in data transmission, ability to combat multiple access interference and its flexibilities. A major challenge affecting wireless communication performance, is the ability to have an accurate and correct Channel State Information (CSI) required to enhance transmitted symbol recovery at the receiver. This challenge is tackled by employing channel estimation techniques which include the training based, blind and semi-blind techniques. This paper presents an efficient semi-blind estimation technique. We proposed the modified version of the conventional Minimum Mean-Square Error (MMSE) algorithm called Modified Minimum Mean-Value Estimator (MMMVE) for implementation of channel estimation for MC-IDMA systems. Complexity analysis and computer simulation results, which show the performance of the MMMVE algorithm, are presented. It can be deduced from the results that MMMVE algorithm outperform the conventional MMSE algorithm.