论文部分内容阅读
时变信道干扰信号功率的估计和预测在自适应抗干扰和频谱资源分配等应用中具有重要意义。针对时变信道中的干扰信号功率,文章通过对干扰信号方差进行建模,并用变分贝叶斯和自适应时间序列算法对时变功率进行估计和预测。首先,建立由方差变化率控制的时变功率模型,利用变分贝叶斯法对不同时变速率的干扰信号进行功率估计;其次,通过对功率估计值的相关特征分析,使用自适应时间序列的方法对干扰信号功率进行预测。理论分析与仿真结果表明,不同时变速率干扰信号功率的估计误差与观测时间间隔存在非线性关系,并且能够对将来5个时刻以内的干扰信号功率进行预测,预测相对误差在0.2以内。
The estimation and prediction of time-varying channel interference signal power is of great importance in applications such as adaptive interference rejection and spectrum resource allocation. Aiming at the power of jamming signal in time-varying channel, this paper models the variance of jamming signal, and estimates and predicts time-varying power by using variable-rate Bayesian and adaptive time series algorithm. First of all, a time-varying power model controlled by the rate of variance change is established, and the power of different time-varying rate jamming signals is estimated by using the variant Bayesian method. Secondly, by using the correlation analysis of power estimation, Of the method of interference signal power prediction. The theoretical analysis and simulation results show that there is a nonlinear relationship between the estimation error of the time-varying rate jamming signal power and the observation time interval, and the power of the interfering signal can be predicted within 5 time points in the future. The relative error of prediction is within 0.2.