Publications by authors named "Pedro Suarez-Casal"
Article Synopsis
- A new method for channel estimation in wideband massive MIMO systems is presented, which works effectively for both sub-6 GHz and mmWave frequency bands, taking into account the beam squint effect.
- The algorithm utilizes the slow variation of the channel's spatial covariance matrix, allowing for short training sequences and leveraging the inherent structure of the channel.
- The results demonstrate that this method not only reduces computational complexity but also lowers training overhead significantly, outperforming traditional minimum mean-squared error solutions in simulations.
Indoor positioning systems based on radio frequency inherently present multipath-related phenomena. This causes ranging systems such as ultra-wideband (UWB) to lose accuracy when detecting secondary propagation paths between two devices. If a positioning algorithm uses ranging measurements without considering these phenomena, it will face critical errors in estimating the position.
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