An Iterative Receiver for Joint Detection, Decoding, and Channel Estimation in Turbo Coded MIMO OFDM

An iterative receiver using a list detector, a turbo decoder, and the space-alternating generalized expectation- maximization (SAGE) based channel estimation for a multiple- input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system is considered to jointly decode the transmitted bits and to estimate the channel state. Different iterative processing possibilities are identified and compared to each other from the performance point of view. The performance of the list parallel interference cancellation (PIC) detection algorithm is compared to the K-best list sphere detector (LSD) while using them as a soft MIMO detector to approximate the a posteriori probability (APP) detector with reduced complexity and with minor losses in the performance. According to the results, the iterative receiver performs well with the low pilot overhead despite the fast fading channel.