Title :
Recursive Code-Timing Estimation for DS-CDMA Signals in a Time-Varying Environment Through a Stochastic Optimization Approach
fDate :
4/1/2007 12:00:00 AM
Abstract :
A modified simulated-annealing method is proposed for recursively minimizing the nonlinear cost function in the subspace-based code-timing estimation for direct-sequence code-division multiple-access signals over a multipath fading channel. The new algorithm has low complexity, because of the recursive updating of the final code-timing estimates together with the noise-subspace tracking
Keywords :
code division multiple access; fading channels; multipath channels; nonlinear functions; simulated annealing; spread spectrum communication; stochastic processes; DS-CDMA signals; direct-sequence code-division multiple-access signals; multipath fading channel; noise-subspace tracking; nonlinear cost function; recursive code-timing estimation; simulated-annealing method; stochastic optimization approach; subspace-based code-timing estimation; time-varying environment; Colored noise; Cost function; Fading; Gaussian noise; Multiaccess communication; Polynomials; Recursive estimation; Simulated annealing; Stochastic processes; Timing; Code-division multiple access (CDMA); code-timing estimation; gradient descent (GD); simulated annealing (SA); subspace; synchronization;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2007.894105
