论文标题
双IRS辅助宽带单用户SISO通信的渠道估计
Channel estimation for double IRS assisted broadband single-user SISO communication
论文作者
论文摘要
在本文中，考虑了两个智能反射表面（双IRS）辅助单用户单输入单输出（SISO）通信系统。 The cascaded channels (mobile user (MU)$\rightarrow$IRS-1$\rightarrow$base station (BS), MU$\rightarrow$IRS-2$\rightarrow$BS and MU$\rightarrow$IRS-1$\rightarrow$IRS-2$\rightarrow$BS channels) are estimated under Bayesian setting.在这里，目标是在MU $ \ rightarrow $ irs-1 $ \ rightarrow $ bs和mu $ \ righarrow $ irs-2 $ \ rightArrow $ bs频道链接中，使用贝叶斯cramer cramer-rao lawao lower downbount（CRLB）评估估算器的性能。如果不知道圆形对称复杂的高斯（CSCG）随机向量的内部产物的封闭形式的PDF，我们将无法获得Fisher信息。因此，通过数值计算，我们获得了贝叶斯CRLB。在仿真结果中，我们表明我们可以通过增加IRS上的元素数量来近似CSCG随机向量的内部乘积PDF，这与中央限制定理（CLT）相似。同样，结果表明，平均误差（MSE）几乎与贝叶斯CRLB匹配。
In this paper, two Intelligent reflecting surfaces (double IRS) assisted single-user single input single output (SISO) communication system is considered. The cascaded channels (mobile user (MU)$\rightarrow$IRS-1$\rightarrow$base station (BS), MU$\rightarrow$IRS-2$\rightarrow$BS and MU$\rightarrow$IRS-1$\rightarrow$IRS-2$\rightarrow$BS channels) are estimated under Bayesian setting. Here, the goal is to evaluate the performance of the estimator in case of MU$\rightarrow$IRS-1$\rightarrow$BS and MU$\rightarrow$IRS-2$\rightarrow$BS channel links using Bayesian Cramer-Rao lower bound (CRLB). Without the knowledge of closed form pdf of inner product of circularly symmetric complex Gaussian (CSCG) random vectors, we cannot obtain the fisher information. Hence, by numerical computation we obtain the Bayesian CRLB. In the simulation results, we show that we can approximate the pdf of the inner product of CSCG random vectors by a Rayleigh distribution by increasing the number of elements on the IRS, which is analogous to Central Limit Theorem (CLT). Also, the results convey that the mean squared error (MSE) almost matches with the Bayesian CRLB.
