Title :
Optimal training sequence length for soft iterative channel estimation
Author :
Hadj-Kacem, Imed ; Sellami, Noura ; Kamoun, Lotfi
Author_Institution :
Lab. LETI, ENIS, Sfax, Tunisia
Abstract :
In this paper, we consider the problem of optimization of the training sequence length when a turbo-detector composed of a maximum a posteriori (MAP) equalizer and a MAP decoder is used. The initial channel estimate based on the training sequence is iteratively improved using the expectation maximization (EM) algorithm. In order to "unbias" the EM estimates, a modified version of the EM estimator is used. The optimal length of the training sequence 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 :
channel estimation; expectation-maximisation algorithm; turbo codes; MAP decoder; data throughput loss; expectation maximization algorithm; maximum a posteriori equalizer; optimal training sequence length; signal-to-noise ratio; soft iterative channel estimation; training sequence length optimization; turbo-detector; Channel estimation; Equalizers; Error probability; Frequency; Intersymbol interference; Iterative algorithms; Iterative decoding; Land mobile radio; Signal to noise ratio; Throughput;
Conference_Titel :
Electronics, Circuits, and Systems, 2009. ICECS 2009. 16th IEEE International Conference on
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4244-5090-9
Electronic_ISBN :
978-1-4244-5091-6
DOI :
10.1109/ICECS.2009.5410835
