A Fast Algorithm of Blind Multiuser Detection Using Particle Filtering
Tian Hong-bo①②; Yin Qin-ye①; Ding Le①; Deng Ke①
①School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China;①Network Center, Second Artillery Engineering College, Xi’an 710025, China
Abstract：Considering the computational complexity of particle filtering, based on the time-observation state space model, a new fast algorithm with low computational complexity is developed for DS-CDMA blind multiuser detection using particle filtering in synchronous systems over flat and fast fading channels. This algorithm classifies the particles when its number exceeds the threshold, and the probability difference of different particles is taken as the criterion whether the particles number is enough, and then the particles number under different circumstance is adjusted adaptively; meanwhile the performance of blind multiuser detection under distinct probability difference of different particles is discussed. Simulation results confirm that this algorithm effectively decreases computational complexity and well remains the performance of blind multiuser detection, meanwhile the performance in proportion to the probability difference.
2008, Vol. 30 
