Title :
Optimal bit allocation for the quantized LMS adaptive algorithm
Author :
Hero, Alfred O. ; Gupta, Robby
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Adaptive channel equalization algorithms are commonly used in wireless communications receivers to counter time-varying channel degradations. We obtain approximate expressions for the optimal bit-allocation factor for the quantized LMS algorithm, which determines the proportion of bits allocated to the data versus that allocated to the coefficients
Keywords :
adaptive equalisers; least mean squares methods; optimisation; radio receivers; time-varying channels; adaptive algorithm; adaptive channel equalization; approximate expressions; optimal bit-allocation factor; quantized LMS algorithm; time-varying channel; wireless communications receivers; Adaptive algorithm; Adaptive equalizers; Bit rate; Degradation; Energy consumption; Finite impulse response filter; Least squares approximation; Mean square error methods; Random sequences; Steady-state;
Conference_Titel :
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-5010-3
DOI :
10.1109/SSAP.1998.739351
