Abstract
Due to the high bandwidths and carrier frequencies to be used at millimeter wave (mmWave), high resolution and high sampling rate analog-to-digital converters (ADCs) with their corresponding interfacing cards become power hungry devices in the reception chain. One solution is to employ low resolution ADCs in the receiver. Acquiring channel state information is challenging in low-resolution systems. In this paper, we design an adaptive compressed sensing strategy to recover the sparse mmWave channel. The simulation results show that the new adaptive strategy outperforms conventional compressed sensing schemes based on fixed measurement matrices, while requiring a lower number of training pilots.
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