In this letter, we investigate a receiver architecture, which uses the received signal in order to simultaneously harvest energy and estimate a Gauss-Markov linear process. We study three communication scenarios: i) static channel, ii) Rayleigh block-fading channel, and iii) high power amplifier (HPA) nonlinearities at the transmitter side. Theoretical results for the minimum mean square error as well as the average harvested energy are given for all cases and the fundamental tradeoff between estimation quality and harvested energy is characterized. We show that channel fading improves the estimation performance while HPA requires an extended Kalman filter at the receiver and significantly affects both the estimation and the harvesting efficiency.

翻译：在这封信中,我们调查一个接收器结构,它使用接收到的信号来同时获取能源,并估计高斯-马尔科夫线性过程。我们研究了三种通信情景:(一)静态信道,(二)雷利区块淡化信道,(三)发射台一侧的高功率放大器(HPA)非线性。对所有案例都给出了最小平均平方差以及平均收获能量的理论结果,并且确定了估计质量和收获能量之间的基本平衡。我们表明,通道淡化提高了估计性能,而HPA则要求在接收器上安装一个延伸的Kalman过滤器,从而极大地影响了估计和收获效率。