Title :
On Optimality Limits of Channel-Structured Estimation in Multicarrier Systems
Author :
Najjar, Lotfollah
Author_Institution :
Commun., Signal & IMage Lab., Higher Sch. of Commun. of Tunis, Ariana, Tunisia
fDate :
6/1/2012 12:00:00 AM
Abstract :
The channel-structure-based estimation has proved its capacity to enhance the performance over channels that exhibit a sparse impulse response. In this paper, it is shown that, below a signal-to-noise ratio (SNR) limit, the channel estimation performance, based on its true impulse response structure, is no more optimal in the mean square error (MSE) sense. The orthogonal frequency-division multiplexing (OFDM) transmission framework is considered, where the MSE analysis of the channel frequency response is first elaborated. Then, the SNR threshold lower bounding the interval over which the structured channel estimation is optimal is derived. Finally, an approximation leads to a new form of the threshold, which is more suitable for prediction in practice. The analysis handles both of the block- and the comb-type channel estimation and accounts for possible spectral-shaping incorporation.
Keywords :
OFDM modulation; approximation theory; channel estimation; frequency response; mean square error methods; transient response; MSE analysis; MSE sense; OFDM transmission framework; SNR limit; SNR threshold; block-type channel estimation; channel estimation performance; channel frequency response; channel-structured estimation; comb-type channel estimation; mean square error sense; multicarrier systems; optimality limits; orthogonal frequency-division multiplexing transmission framework; signal-to-noise ratio; sparse impulse response structure; spectral-shaping incorporation; Approximation methods; Channel estimation; Discrete Fourier transforms; Estimation; Mercury (metals); OFDM; Signal to noise ratio; Channel estimation; channel impulse response (CIR) structure; mean square error (MSE) minimization; orthogonal frequency-division multiplexing (OFDM); signal-to-noise ratio (SNR) threshold;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2012.2192947