Title :
Training Interval Length Optimization for MIMO Flat Fading Channels Using Decision-Directed Channel Estimation
Author :
Hadj-Kacem, Imed ; Sellami, Noura ; Fijalkow, Inbar ; Roumy, Aline
Author_Institution :
Lab. LETI, ENIS, Sfax, Tunisia
Abstract :
In this paper, we address the problem of optimization of the training sequence interval for MIMO (multiple-input multiple-output) flat fading channels when an iterative receiver composed of a likelihood generator and a maximum a posteriori (MAP) decoder is used. At each iteration of the receiver, the channel is estimated using the hard decisions on the transmitted symbols at the output of the decoder. The optimal length of the training interval is found by maximizing an effective signal-to-noise ratio (SNR) taking into account the data throughput loss due to the use of pilot symbols.
Keywords :
MIMO communication; channel estimation; fading channels; maximum likelihood decoding; radio receivers; MIMO flat fading channels; decision-directed channel estimation; iterative receiver; likelihood generator; maximum a posteriori decoder; training sequence interval optimization; Channel estimation; Computer networks; Fading; Frequency; Iterative decoding; MIMO; Mobile computing; Receiving antennas; Throughput; Transmitting antennas;
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications, 2009. WIMOB 2009. IEEE International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-0-7695-3841-9
DOI :
10.1109/WiMob.2009.88