DocumentCode :
2380257
Title :
A new approach to blind channel identification for mobile radio fading channels
Author :
Schmidbauer, Andreas ; Specht, Werner ; Herzog, Rupert
Author_Institution :
Dept. of Commun. Eng., Tech. Univ. Munchen, Germany
fYear :
1997
fDate :
11-13 Aug 1997
Firstpage :
69
Lastpage :
72
Abstract :
A new algorithm for blind channel identification based on the super-exponential-algorithm (Shalvi and Weinstein, 1993) is introduced. Combining the impulse response of the equalizer with the channel impulse response leads to an iterative algorithm with fast convergence qualities and short block length on the assumption of independent, identically distributed (i.i.d.) data. The algorithm is robust with respect to system overfit (supernumerarily assumed channel coefficients converge to zero) and influence of additive white Gaussian noise even in mixed-phase moving average (MA) channels. Despite of the use of fourth order cumulants the complexity of the algorithm is rather simple compared with alternative blind methods. The implementation on a signal processor (TMS320C40) performs nearly in real-time under GSM conditions
Keywords :
Gaussian noise; cellular radio; computational complexity; convergence of numerical methods; equalisers; fading; higher order statistics; identification; iterative methods; signal processing; time-varying channels; transient response; white noise; GSM conditions; additive white Gaussian noise; blind channel identification; block length; channel impulse response; complexity; convergence; equalizer; fourth order cumulants; i.i.d. data; impulse response; independent identically distributed data; iterative algorithm; mixed-phase moving average channels; mobile radio fading channels; signal processor implementation; super-exponential-algorithm; supernumerarily assumed channel coefficients; system overfit; Blind equalizers; Convergence; Equations; Fading; Iterative algorithms; Land mobile radio; Mobile communication; Noise robustness; Signal processing algorithms; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Conference, 1997., Proceedings
Conference_Location :
Boulder, CO
Print_ISBN :
0-7803-4194-5
Type :
conf
DOI :
10.1109/WCC.1997.622249
Filename :
622249
Link To Document :
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