CAJ | 학술논문

针对遵从放大转发协议的双向中继网络的联合信道估计问题，提出了一种基于Kalman滤波器的新方法。根据联合信道构成特点将其划分为自干扰部分及传输部分，通过AR模型对这两部分自相关函数进行近似化处理，建立了联合信道时变过程的状态方程，结合接收的训练序列信号，给出了具有Kalman滤波器形式的估计方法。在证明了该方法的一致收敛性质的同时，列出了误差性能限所满足的Riccati方程表达式。仿真结果表明，新估计方法相比于最大似然方法在均方误差方面具有明显的性能优势。
침대준종방대전발협의적쌍향중계망락적연합신도고계문제，제출료일충기우Kalman려파기적신방법。근거연합신도구성특점장기화분위자간우부분급전수부분，통과AR모형대저량부분자상관함수진행근사화처리，건립료연합신도시변과정적상태방정，결합접수적훈련서렬신호，급출료구유Kalman려파기형식적고계방법。재증명료해방법적일치수렴성질적동시，렬출료오차성능한소만족적Riccati방정표체식。방진결과표명，신고계방법상비우최대사연방법재균방오차방면구유명현적성능우세。
A cascade channel estimation of Amplify-and-Forward (AF ) two-way relay networks (TWRN ) was investigated,and a new estimator was proposed based on Kalman filter.Firstly,a cascade channel of AF TWRN was divided into self-interference part and transmission part functionally.Then,auto-correlation functions of these two parts (ACF)were approximated by auto-regressive (AR)model to obtain the Gauss-Markov process of the channel,and the resultant Kalman estimator was deduced according on the received training signals.After the property of convergence was proved,the bound of mean square error (MSE)was also derived in the form of Riccati equation.The final numeral simulation demonstrates that the new estimator outperforms its maximum likelihood (ML)counterpart in the merit of MSE.