CAJ | 학술논문

现有LR（Lattice Reduction）辅助的线性预编码算法，在接收机端需要对接收到信号进行平移变换，因而仅适合于点对点的MIMO系统中，然而在广播信道条件下，由于接收机是分散的，且功率尺寸受限，不适宜采用现有的线性预编码算法。针对这一问题，文章提出了一类改进的LR辅助线性预编码算法，并给出了相应ZF和MMSE准则下的具体实现。在该算法中，信号处理主要在发送机端完成，以降低接收机端的计算量。仿真结果表明：文章提出的算法相比现有的LR辅助线性预编码算法误比特率性能更好，因而更适用于广播信道条件下的MIMO系统。
현유LR（Lattice Reduction）보조적선성예편마산법，재접수궤단수요대접수도신호진행평이변환，인이부괄합우점대점적MIMO계통중，연이재엄파신도조건하，유우접수궤시분산적，차공솔척촌수한，불괄의채용현유적선성예편마산법。침대저일문제，문장제출료일류개진적LR보조선성예편마산법，병급출료상응ZF화MMSE준칙하적구체실현。재해산법중，신호처리주요재발송궤단완성，이강저접수궤단적계산량。방진결과표명：문장제출적산법상비현유적LR보조선성예편마산법오비특솔성능경호，인이경괄용우엄파신도조건하적MIMO계통。
The existing LR aided linear pre-coding algorithm is only suitable for point-to-point MIMO systems because of the shifting process which is performed at the receiver end. However, under the condition of the broadcast channel, because the receivers are decentralized and their power and size is limited, the existing LR aided linear pre-coding algorithm is not suitable. In order to solve the problem, an improved LR aided linear pre-coding algorithm, which included the realizations under ZF and MMSE criterion, was given in this paper. In this algorithm, the main signal processing was performed at the transmitter end to reduce the amount of computa-tion of the receiver. The simulation results showed that the proposed algorithm had the better bit error rate per-formance compared to the existing LR aided linear pre-coding algorithm and therefore it is more suitable for the MIMO system under the condition of the broadcast channel.