Analysis of the SSLMS algorithm for complex-valued data

Terms for the steady-state mean-square error, the optimum step-size, and the corresponding minimum value of the tracking mean-square error of the sign-sign least mean square algorithm for complex-valued data are derived in the work. Moreover, convergence comparison of the least mean square (LMS) algorithm and the sign-sign LMS algorithm for complex-valued data is also presented. Finally, simulation results are presented to support our analytical findings.