Title :
Channel estimation from known preamble sequences
Author :
Raja Rajeswari, K. ; Gangatharan, N. ; Morris, G. Ezra ; Radhakrishna Rao, G.S.V. ; Visvesvara Rao, B. ; Swamy, G.N.
Author_Institution :
FOE, Multimedia Univ., Cyberjaya, Malaysia
Abstract :
The least sum of squared estimation (LSSE)channel estimation algorithm is applied for determining a channel impulse response from known preamble sequences. Optimum training sequences are designed for different channel responses and training sequence lengths. The effect of channel estimation errors on the performance of some data detectors is also investigated. As a special case some non-maximal length sequences and ternary sequences (with alphabet 0, ±1) are also considered for performance evaluation.
Keywords :
channel estimation; least squares approximations; transient response; channel estimation; channel responses; data detectors; impulse response; known preamble sequences; least sum of squared estimation; nonmaximal length sequences; optimum training sequences; performance evaluation; ternary sequences; Adaptive equalizers; Channel estimation; Detectors; Digital communication; Educational institutions; Intersymbol interference; Multiaccess communication; Symmetric matrices; Time division multiple access; Time varying systems;
Conference_Titel :
Communication Systems, 2002. ICCS 2002. The 8th International Conference on
Print_ISBN :
0-7803-7510-6
DOI :
10.1109/ICCS.2002.1182479
