OFDM transmission schemes are adopted in the integrated services digital broadcasting-terrestrial (ISDB-T), the downlink of long term evolution (LTE), etc. In most cases, there are not many delayed paths in the propagation environments, i.e., the wireless channels are likely to be sparse. In addition, when the receiver moves rapidly, the accuracy of channel estimation deteriorates significantly. In order to alleviate the deterioration, the iterative channel estimation scheme with the tap selection and the least mean squares (LMS) algorithm has been studied. For further improvement of the channel estimation accuracy, this paper investigates a channel estimation scheme employing the optimization method with L1-norm regularization, called fast iterative shrinkage-thresholding algorithm (FISTA), and proposes an iterative receiver employing such a channel estimation scheme for OFDM systems. For evaluating the performance of the proposed scheme, computer simulations are conducted under the condition of ISDB-T with the scattered pilots (SP)-OFDM signal. It is shown that the proposed method has much better accuracy in the estimation of the sparse channel impulse response than the conventional method.
Iterative Reception Employing Sparse Channel Estimation for OFDM Systems
01.09.2015
281546 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Pilot design for compressed sensing based OFDM sparse channel estimation
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