Improved parallel interference cancellation based on conditional likelihood function

An improved parallel interference cancellation (PIC) detector is presented based on the conditional likelihood function. The improved PIC benefits from an additional correcting module after the last stage, where the maximum likelihood algorithm is employed using only the conditional likelihood function, which is calculated from tentative decision information. Analysis and simulation show that the new algorithm can improve the bit error rate (BER) performance of PIC with much lower computational complexity than the optimum detector.