Near Range, Leakage Aware Object Localization Based on 5G NR-Compliant JCAS
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
Asilomar Conference on Signals, Systems, and Computers
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
In this work, we perform joint communications and sensing (JCAS) with a 5G New Radio (NR)-compliant orthogonal frequency-division multiplexing (OFDM) system. The focus lies on the special task of estimating the distances of objects in the close proximity of the antenna from a user equipment (UE) point of view. Unfortunately, in the range spectrum such near range objects may be covered by the leakage signal, which is
the direct signal from the transmitter to the receiver within the UE. The interfering signal is typically much stronger in signal power compared to the objects? reflections. Moreover, for close objects, classical OFDM-based radar processing methods
as well as advanced algorithms like multiple signal classification (MUSIC) are in many situations not able to separate the objects and the leakage. In this work, we propose a modified version of the sparse cyclic coordinate decent (SCCD) algorithm by combining it with the so-called RELAX method to separate and estimate the positions of the leakage and the objects. A proof of concept is presented via simulations and measurements, which highlights that the proposed method outperforms state-of-the-art
(SOTA) algorithms, e.g., in the mid signal-to-noise ratio (SNR) range.
Forschungs-