Title :
Blind joint channel and data estimation for OFDM signals in Rayleigh fading
Author :
Chang, Ming-Xian ; Su, Yu.T.
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
We present several blind model-based joint channel and data estimation methods for orthogonal frequency division multiplexing (OFDM) signals. We model the time-varying channel response as a polynomial in time. Joint channel estimation and data detection are accomplished by finding the data sequence and regression coefficients that results in the minimum metric between the data-dependent polynomial and the received samples. Our method does not require the information of the channel statistics like signal-to-noise ratio (SNR) or correlation function. Performing exhaustive search among candidate sequences, though optimal, is impractical for long sequences. We develop some suboptimal methods and discuss their pro and con. A two-stage hybrid detection algorithm is proposed and used for detecting differential phase shift keying (DPSK) signals in Rayleigh fading
Keywords :
OFDM modulation; Rayleigh channels; differential phase shift keying; parameter estimation; polynomials; radio links; signal detection; statistical analysis; time-varying channels; DPSK signals; OFDM; Rayleigh fading; blind channel estimation; blind data estimation; data detection; data sequence; data-dependent polynomial; differential phase shift keying signals; hybrid detection algorithm; regression coefficients; time-varying channel response; wireless wideband transmission; Channel estimation; Detection algorithms; Differential phase shift keying; Frequency estimation; OFDM; Phase detection; Polynomials; Signal to noise ratio; Statistics; Time-varying channels;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
Conference_Location :
Rhodes
Print_ISBN :
0-7803-6728-6
DOI :
10.1109/VETECS.2001.944487
