1 research outputs found
Performance Analysis of Integrated Sensing and Communications Under Gain-Phase Imperfections
This paper evaluates the performance of uplink integrated sensing and
communication systems in the presence of gain and phase imperfections.
Specifically, we consider multiple unmanned aerial vehicles (UAVs) transmitting
data to a multiple-input-multiple-output base-station (BS) that is responsible
for estimating the transmitted information in addition to localising the
transmitting UAVs. The signal processing at the BS is divided into two
consecutive stages: localisation and communication. A maximum likelihood (ML)
algorithm is introduced for the localisation stage to jointly estimate the
azimuth-elevation angles and Doppler frequency of the UAVs under gain-phase
defects, which are then compared to the estimation of signal parameters via
rotational invariance techniques (ESPRIT) and multiple signal classification
(MUSIC). Furthermore, the Cramer-Rao lower bound (CRLB) is derived to evaluate
the asymptotic performance and quantify the influence of the gain-phase
imperfections which are modelled using Rician and von Mises distributions,
respectively. Thereafter, in the communication stage, the location parameters
estimated in the first stage are employed to estimate the communication
channels which are fed into a maximum ratio combiner to preprocess the received
communication signal. An accurate closed-form approximation of the achievable
average sum data rate (SDR) for all UAVs is derived. The obtained results show
that gain-phase imperfections have a significant influence on both localisation
and communication, however, the proposed ML is less sensitive when compared to
other algorithms. The derived analysis is concurred with simulations.Comment: 38 pages, 7 figure