Title :
Stochastic Stability Analysis for the Constant-Modulus Algorithm
Author :
Nascimento, Vítor H. ; Silva, Magno T M
Author_Institution :
Dept. of Electron. Syst. Eng., Univ. of Sao Paulo, Sao Paulo
Abstract :
We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of the CM cost function. Our model highlights the influence of the signal constellation used in the transmission system: for smaller variation in the modulus of the transmitted symbols, the algorithm will be more robust, and the steady-state misadjustment will be smaller. The theoretical results are validated through several simulations, for long and short filters and channels.
Keywords :
adaptive filters; filtering theory; gradient methods; stochastic processes; constant-modulus algorithm; gradient-based adaptive filter; signal constellation; stochastic stability analysis; transmission system; Adaptive equalizers; Adaptive filters; adaptive equalizers; adaptive filters; least mean square methods; least-mean-square methods; recursive estimation; tracking; unsupervised learning;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.928101