本文基于MIMO检测中性能和复杂度的矛盾，结合具体的MIMO

检测技术进行深入研究，致力于提供能有效缓解性能和复杂度矛盾冲

突的技术方案。论文首先介绍MIMO系统的基本模型，随后针对球

译码(Sphere Decoding)检测及其相关技术、搜索空间预定义检测器

(Search Space Predetermined Detector，SSPD)算法、并行计算对检

测算法的加速作用以及自动重传机制(Automatic Retransmission

reQuest，ARQ)带来的时间分集对复杂度压力的缓解作用等几方面

展开研究。-As far as is known，few literature deals with the quantified

relationship between complexity and detection performance of SD．

Sphere radius is proposed to be a transition parameter,thus the quantified

relationship is analyzed theoretically．This part of work can be divided

into three paas：1)In order to analyze the performance of SD，the

asymptotic bound of optimal performance is utilized，and latter the

performance loss caused by search space reduction is quantified with the

help of above bound．Since the performance loss is affected by the sphere

radius directly,sphere radius Can be used to represent the performance

feature of SD．2)Based on the characteristic of complexity of SD，derive

all upper．bound of average complexity；therefore the sphere radius

becomes the metric of average complexity．3)By making use of sphere

radius，the bridge between performance and complexity can be built．The

compute simulations verify above analysis for different MIMO use cases．