MIMO系统中基于信号可靠性判定的OSIC检测

Ordered Successive Interference Cancellation and Detection Based on Signal Reliability Decision Structure in MIMO Systems

排序串行干扰消除(Ordered Successive Interference Cancellation,OSIC)是多输入多输出无线通信系统中一种重要的信号检测技术。为了降低该算法的计算复杂度,首先提出了基于信号可靠性判决的排序串行干扰消除算法,根据所设计的信号可靠性判决(Signal Reliability Decision,SRD)结构的判决结果选择不同的方法消除信号间的干扰。为了进一步提升SRD-OSIC算法的检测性能,提出了局部最优(Local Optimized,LO)的LO-SRD-OSIC算法。仿真结果表明,SRD-OSIC算法仅需要传统OSIC算法一半的复杂度就能获得相近的误码率性能。不仅如此,当LO-SRD-OSIC算法与SRD-OSIC算法的计算复杂度相同时,LO-SRD-OSIC算法可以获得额外3 dB的误码率性能增益。

The ordered successive interference cancellation(OSIC)algorithm is an important signal detection technique employed by the receiver of the multiple-input multiple-output(MIMO)based communication systems.In order to reduce the computational complexity of the OSIC algorithm,this paper first proposes a signal reliability decision-ordered successive interference cancellation(SRD-OSIC)algorithm,which selects different methods to eliminate the interference,according to the output of the designed signal reliability decision(SRD)structure.In order to further improve the detection performance of the SRD-OSIC algorithm,this paper proposes the local optimal-signal reliability decision-constellation candidate selective constraint(LO-SRD-OSIC)algorithm.The simulation results show that the SSRD-OSIC algorithm is capable of reducing the computational complexity of the OSIC algorithm by 50%when both SRD-OSIC and the OSIC algorithm achieve the same bit error rate(BER).When the computational complexity of the LO-SRD-OSIC algorithm is similar to that of the SRD-OSIC algorithm,the LO-SRD-OSIC algorithm can obtain an additional 3 dB performance gain.