作　　者： (代龙震）; (崔维嘉）; (王大鸣）;

机构地区： 解放军信息工程大学,河南郑州450001

出　　处： 《信号处理》 2017年第9期1272-1277,共6页

摘　　要： 针对传统干扰对齐算法需要理想的信道状态信息,且对信道误差敏感的问题,本文基于范数有界信道误差模型,提出了一种权值可调的鲁棒干扰对齐算法。该算法同时考虑干扰和期望信号在相应子空间投影的功率,采用极大极小值方法,最大化二者的最小加权和,而且将权值设计为SNR的指数函数,可随SNR变化自动可调,有效克服不同SNR下噪声的影响。仿真结果表明,在信道误差范数有界时,所提算法具有较好的鲁棒性,并且在中低信噪比区域,权值可调算法较固定权值算法具有更好的鲁棒性。 Conventional interference alignment （IA） requires perfect channel state information （CSI） and is sensitive to channel uncertainties. Based on the norm-bounded channel uncertainties model, this paper proposed a weight adjustable robust IA algorithm. The proposed algorithm uses the maximin value method to maximize the minimum weighted sum power of the projection casted by both interference and desired signal in their corresponding subspace. The weighted factors are designed as the exponential function of SNR which can be adjusted according to SNR, which can effectively overcome the influence of white noise of different SNR. Simulation results show that the proposed weight adjustable algorithm has a good robustness when channel uncertainties is norm-bounded, and outperforms the constant weight algorithm at the low SNR region.

关 键 词： 干扰对齐 鲁棒性 范数有界信道误差 信道容量