利用单片机开发空间分集,利用MIMO技术提高数据速率,并基于误码率对系统性能进行分析

K. Iqbal
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引用次数: 0

摘要

本文采用空间信道模型分析了MIMO系统的不同配置,并从误码率的角度分析了在不同信道条件下采用和不采用同信道干扰消除技术的MIMO系统的性能。在Matlab中对不同系统进行了仿真,对Bell实验室分层时空(BLAST) MIMO系统进行了对比分析。仿真结果与结果分析相结合,给出了通过增加天线数量在接收端实现天线分集的优点。基本上实现了两种接收端天线数量不同的模型,本文的主要目标是广泛使用现实空间信道模型,提供郊区宏小区、城市宏小区和城市微小区三种传播场景。将城市微细胞环境进一步划分为视线传播和非视线传播。实现的最终目的是通过利用接收端的分集来提高吞吐量,LST系统也实现了同样的目标,其中数据速率随着接收端的天线单元数量的增加而提高,但误码率性能没有提高。从模拟中甚至可以观察到,使用连续干扰消除技术的整体LST系统比不进行干扰消除的系统具有更好的误码率性能,这种技术消除了由于发射天线而产生的同信道干扰的影响。为了消除干扰,需要根据信噪比的值对接收信号进行排序。信噪比高的信号比信噪比低的信号优先级高。这种基于最高信噪比的信号排序是通过实现一种新的连续干扰抵消算法来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploitation of space diversity using SCM to increase the data rate by MIMO technology and analysis of system's performance on the basis of BER
In this paper different configurations of the MIMO systems have been used to analyze the performance in terms of BER of the system with and without co-channel interference cancellation techniques under various channel conditions using spatial channel model. All the simulations for different systems have been implemented in Matlab to carry out the comparative analysis of Bell labs layered space time (BLAST) MIMO systems. Simulation results are implemented along-with the result analysis giving the advantage of antenna diversity achieved at receiving end by increasing the number of antennas. Basically two models with different number of antennas at receiving end are implemented and the main objective of this paper is extensive use of realistic Spatial Channel model offering three propagation scenarios such as suburban macro-cell, urban macro-cell and urban micro-cell. Urban micro-cellular environment is further differentiated into line of sight (LOS) and non line of sight (NLOS) propagation. The ultimate aim of implementation is to increase the throughput by exploiting diversity at receiving end and same is achieved by LST systems where data rate is improved with more number of antenna elements at receiving end but BER performance is not improved. It is even observed from the simulations that overall LST systems using successive interference cancellation technique that cancels the effect of co-channel interference because of transmit antennas have better BER performance than systems where interference cancellation is not carried out. For the purpose of interference cancellation the ranking of received signal is required to be done that is based on the value of SNR. A signal with highest SNR is at highest priority as compared to other having lower SNR. This ranking of signal based on highest SNR is carried out by implementation of novel successive interference cancellation algorithm.
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