Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Multiuser Detection
A Low Complexity and Low Power SoC Design Architecture for Adaptive MAI Suppression in CDMA Systems
Journal of VLSI Signal Processing Systems
Trickle-based interference cancellation schemes for CDMA systems
IEEE Transactions on Wireless Communications
Variance-reduced partial parallel interference cancellation for MC-CDMA uplink systems
IEEE Transactions on Wireless Communications
Parallel detection of MC-CDMA in fast fading
IEEE Transactions on Wireless Communications
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Multi-user detection for DS-CDMA communications
IEEE Communications Magazine
Adaptive multistage parallel interference cancellation for CDMA
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Adaptive receiver structures for asynchronous CDMA systems
IEEE Journal on Selected Areas in Communications
Analysis of a simple successive interference cancellation scheme in a DS/CDMA system
IEEE Journal on Selected Areas in Communications
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Parallel interference cancellation (PIC) is a well-known multiuser detection algorithm in direct-sequence code-division multiple-access (DS-CDMA) systems. It is typically implemented with a multi-stage architecture. One problem associated with the PIC is that unreliable interference cancellation may occur in the early stages and the system performance may be degraded. Thus, the partial PIC detector was developed to control the cancellation level by use of interference cancellation factors. Partial PIC can be implemented with an adaptive form, in which optimal weights are derived using the least mean square (LMS) algorithm. In this paper, we propose an algorithm improving the conventional adaptive partial PIC. The main idea is to reduce the number of active weights in the LMS algorithm, and to perform weight post-filtering such that the resultant excess mean square error can be reduced. We also analyze the performance of the proposed algorithm and derive the bit error rate of the second stage output. Simulation results verify that the proposed algorithm outperforms the conventional partial PIC, and derived analytical results are accurate.