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A method using optimized combinations based on energy spectrum extension factor to reduce MAI in asynchronous DS-CDMA systems
Affiliation:1. National Research Center of Railway Safety Assessment, Beijing Jiaotong University, Beijing 100044, China;2. State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing 100044, China;1. Institute of Space Electronics and Information Technology, School of Electronic Science and Engineering, National University of Defense Technology, China;2. Department of Signal Processing and Acoustics, Aalto University, Finland;3. China Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, China
Abstract:The principle to suppress multiple access interference (MAI) using double chip waveforms (DCW) in asynchronous DS-CDMA systems is analyzed in the paper. Based on the principle, a new method adopting optimized combinations of chip waveforms (CCW) to reduce MAI is proposed. The energy spectrum extension factor (ESEF) of equivalent chip waveform is introduced to optimally select CCW to reduce MAI, improve the signal to interference plus noise ratio (SINR) and bite error rate (BER) performance of asynchronous DS-CDMA users. The general closed form expression of SINR for asynchronous DS-CDMA users with CCW is obtained. The BER is also derived by improved Gaussian approximation (IGA). The theoretical analysis and numerical simulation results show that the optimized CCW using ESEF can effectively suppress MAI better, achieve higher SINR and BER performance compared with DCW. Moreover, the overlap between the simulation and IGA BER curves verifies the theoretical derivation.
Keywords:Multiple access interference (MAI)  Optimized combinations of chip waveforms (CCW)  Energy spectrum extension factor (ESEF)  Signal to interference plus noise ratio (SINR)  Improved Gaussian approximation (IGA)
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