自动增益控制(automatic gain control,AGC)可以满足强干扰场景下非合作干扰对消系统对高动态的要求,如何定量表征其对干扰对消性能的影响,是指导多通道AGC方案设计的关键.通过谱分析与特征子空间的方法推导得到AGC的稳态增益与 自相关矩阵特征值的映射关系,建立干扰对消权值的瞬态模型.基于干扰对消权值的解析表达式,详细分析稳态增益对干扰对消性能的影响规律,揭示了稳态增益与稳定性、收敛速度以及对消比之间的定量关系.同时,进一步研究AGC的调控过程初始增益、步长、平均步长时间、多通道控制策略对干扰对消瞬态收敛特性的影响,可以有效指导多通道AGC方案设计.仿真结果验证了权值瞬态模型的正确性以及干扰对消性能分析结论的有效性.实验结果表明,理论与仿真的分析结论可以用来指导AGC方案的工程实践.
Modeling and analysis of automatic gain control for non-cooperative interference cancellation performance
Automatic gain control(AGC)can meet the high dynamic requirements of non-cooperative interference cancellation system under strong interference scenario.How to quantitatively represent the impact of AGC on interference cancellation performance is the key to guide the design of multi-channel AGC scheme.This article derives the mapping relationship between the steady-state gain of AGC and the eigenvalues of the autocorrelation matrix through spectral analysis and feature subspace methods,and establishes a transient model of interference cancellation weight.Based on the analytical expression of interference cancellation weight,the influence law of steady-state gain on interference cancellation performance is analyzed in detail,and the relationship between steady-state gain and stability,convergence speed,and cancellation ratio is quantitatively expressed.Furthermore,further research on the effects of initial gain,step size,average step time,and multi-channel control strategies on the transient convergence characteristics of interference cancellation in the adjustment and control process of AGC can effectively guide the design of multi-channel AGC scheme.Simulation results verify the correctness of the weight transient model and the effectiveness of the interference cancellation performance analysis conclusion.Experimental results indicate that the theoretical and simulation analysis conclusions can be used to guide the engineering practice of AGC schemes.
non-cooperative interference cancellationhigh dynamicautomatic gain control(AGC)weight transient modelinterference cancellation performance
万方数据
维普
