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本文在直接序列 /码分多址 (DS/CDMA)系统盲检测自适应梯度算法 (BAG)的基础上 ,提出了一种多用户检测盲自适应梯度算法的改进算法 (IBAG) .BAG算法包括自适应梯度算法 (TBAG)和时变自适应梯度算法 (TIBAG) ,TBAG算法的跟踪特性较好 ,但起始收敛特性不好 ;TIBAG算法的收敛特性较好 ,但跟踪特性较差 ,几乎不具备跟踪能力 .本改进算法结合了这两种自适应梯度算法的优点 ,在不增加算法复杂度的前提下 ,使其收敛性和跟踪特性较BAG算法有所提高
Based on blind detection adaptive gradient algorithm (BAG) of direct sequence / code division multiple access (DS / CDMA) system, this paper proposes an improved algorithm (IBAG) for blind detection of multi-user detection gradient algorithm.BAG algorithm includes TBAG algorithm and TAGAG algorithm, TBAG algorithm has good tracking performance, but its initial convergence property is not good. TIBAG algorithm has better convergence property but less tracking property, With tracking ability.This improved algorithm combines the advantages of these two adaptive gradient algorithms, and improves the convergence and tracking performance compared with the BAG algorithm without increasing the complexity of the algorithm