摘要
针对最大似然多用户检测问题 ,基于已有的半定规划模型 ,给出了一种新的强化半定规划模型 .此模型不仅满足严格可行性 (Slater约束规格 ) ,而且能提供原问题一个更好的界 .根据这种模型 ,利用随机扰动算法 ,得到求解最大似然多用户检测问题的强化半定规划松弛方法 .该方法简单、快捷 ,且能有效克服误码率较高的问题 .理论和仿真试验均说明了这一点 .
A strengthened semidefinite programming (SDP) relaxation based on SDP relaxation is given to solve maximum likelihood detection, not only is it a strict improvement over the strengthened SDP relaxation to the well known SDP relaxation, but also it satisfies Slater constraint qualification (strict feasibility). The algorithm used for rounding technique is used to gain the solution of mutiuser detection theory and simulation shows that this method is simple, speedy, and can overcome the higher bit error rate.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2002年第8期875-877,共3页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目 (199710 6 5 )
