An Initial Value Optimization Least Square Constant Modulus Algorithm for CDMA Systems

An initial value optimization least square constant modulus algorithm (IVO-LSCMA) is presented in this paper. The initial value of IVO-LSCMA is calculated by using the eigenvectors in the signal subspace and it is obtained by the iteration search approach to maximize the SINR(signal to interference plus noise ratio). The noise capture problem of LSCMA when the initial value is selected randomly can be solved by the IVO-LSCMA. It is shown that the IVO-LSCMA can achieve superior detection performance and fast convergence rate and it is also shown more robust performance than the LSCMA when the initial value is selected randomly. Moreover, the effect of the parameter to the algorithm is analyzed.