Multiple-input multiple-output least-squares constant modulus algorithms
نویسندگان
چکیده
In this paper, we propose novel blind separation techniques for multiple-input multiple-output systems based on least-squares constant modulus algorithm (LSCMA). To ensure that each output signal is extracted from different input signals, the proposed algorithms have been derived by using successive interference cancellation and Gram-Schmidt orthogonalization procedure. The performance is observed through computer simulations and compared with the multitarget LSCMA (MT-LSCMA) and LS multi-user CMA (LS-MU-CMA). Simulation results have shown that the proposed algorithms exhibit better performance in terms of both bit error rate (BER) and convergence speed.
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