中文摘要：

结合迭代QR分解和最大似然检测提出一种新的联合检测算法。算法首先使用改进迭代QR分解得到发送符号向量nT个估计，随后使用最大似然检测算法在nT估计向量寻找最佳判决向量。分析表明，联合检测算法复杂度是连续干扰消除算法的1／5。仿真试验表明，联合检测算法性能优于连续干扰消除算法。

英文摘要：

Based on the combination of modified iterativc QR decomposition （ZF _ MIQRD） and maximum likelihood （ML） detection, the paper represents a new combined detection algorithm which obtains transmission sign vectors, nt evaluations, by ZF_ MIQRD, and then searches for the optimized adjudgment vector for nT evaluation vectors by ML detection algorithm. The analysis shows that the complexity of the combined detection algorithm is 1/5 that of Successive Interference Cancellation （OSIC） algorithm. The simulation test shows that the combined detection algorithm performance is better than OSIC algorithm performance.