Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels
Abstract
We describe a new joint iterative channel estimation and equalization algorithm for joint channel estimation and data detection for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and rapidly timevarying channels. The algorithm is based on the expectation maximization-maximum a posteriori (EM-MAP) technique which is very suitable for the multicarrier signal formats. The algorithm leads to a receiver structure that yields the equalized output using the channel estimates. The pilot symbols are employed to estimate the initial channel coefficients effectively and unknown data symbols are averaged out in the algorithm. The band-limited discrete cosine serial expansion of low dimensionality is employed to represent the time-varying fading channel. In this way the resulting reduced dimensional channel coefficients are estimated iteratively with tractable complexity. The extensive computer simulations show that the algorithm has excellent symbol error rate (SER) and mean square error (MSE) performances for very high mobility even during the initialization step. Copyright © ?enol et. al.
Source
2010 Future Network and Mobile SummitCollections
Related items
Showing items related by title, author, creator and subject.
-
Iterative channel estimation for spatial modulation systems over fast fading channels
Acar, Yusuf; Doğan, Hakan; Panayırcı, Erdal (IEEE, 2014)Spatial Modulation (SM) based on the use of antenna indices to transmit information in addition to the conventional signal constellations has been recently proposed to solve practical problems encountered in MIMO systems. ... -
Iterative channel estimation for spatial modulation systems over fast fading channels [Hızlı sönümlemeli kanallarda uzaysal modülasyon sistemleri için iteratif kanal kestirimi]
Acar, Yusuf; Doğati, Hakan; Panayırcı, Erdal (IEEE Computer Society, 2014)Spatial Modulation (SM) based on the use of antenna indices to transmit information in addition to the conventional signal constellations has been recently proposed to solve practical problems encountered in MIMO systems. ... -
Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali (Wiley-Blackwell, 2014)Due to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of ...