solidot新版网站常见问题,请点击这里查看。
消息
本文已被查看171次
Joint Transmit and Receive Filter Optimization for Sub-Nyquist Wireless Channel Estimation. (arXiv:1704.07612v1 [cs.IT])
来源于:arXiv
In this article a framework is presented for the joint optimization of the
analog transmit and receive filter with respect to a channel estimation
problem. At the receiver, conventional signal processing systems restrict the
bandwidth of the analog pre-filter $B$ to the rate of the analog-to-digital
converter $f_s$ in order to comply with the well-known Nyquist sampling
theorem. In contrast, here we consider a transceiver that by design violates
the common paradigm $B\leq f_s$. To this end, at the receiver we allow for a
higher pre-filter bandwidth $B>f_s$ and study the achievable channel estimation
accuracy under a fixed sampling rate when the transmit and receive filter are
jointly optimized with respect to the Bayesian Cram\'{e}r-Rao lower bound. For
the case of a channel with unknown delay-Doppler shift we show how to
approximate the required Fisher information matrix and solve the transceiver
design problem by an alternating optimization algorithm. The presented approach
allows 查看全文>>