Joint Communication and Radar Sensing in 5G Mobile Network by Compressive Sensing

Abstract

Radar sensing can be integrated with communication in what-we-call future perceptive mobile networks. Due to complicated signal structure, it is challenging to estimate sensing parameters such as delay, angle of arrival and Doppler when joint communication and radar sensing (JCAS) is applied in perceptive mobile networks. This paper studies radar sensing with signals compatible with fifth generation (5G) new radio (NR) standard using one-dimension (1D) to 3D compressive sensing (CS) techniques under 5G channel conditions. Moreover, we propose a two-dimensional cluster Kronecker CS algorithm for significantly improved sensing parameter estimation in JCAS networks via introducing a prior probability distribution to effectively exploit the cluster structure in multipath channels. Simulation results are provided and we focus the respective advantages and disadvantages of these techniques that validate the effectiveness of the proposed algorithms.

Joint communication and radar sensing in 5G mobile network by compressive sensing

“…The results in this paper are partially published in [2]. This paper is indeed an extensive extension from our earlier work [2].…”

“…The results in this paper are partially published in [2]. This paper is indeed an extensive extension from our earlier work [2]. In this paper, we synthesise the main ideas of 1D–3D CS algorithms in JCAS and provides another novel cluster‐based 2D Kron OMP algorithm.…”

“…Propagation channels are generated based on clustered channel models of two forms. The first one is developed by us and named Cluster‐Chl [2], and the second one is the QuaDRiGa channel model [33], recommended by 3GPP for modelling communication channels in long‐term evolution (LTE) and 5G systems.…”

“…Referring to the 5G NR standard signals and channels described in Section 2, we use the OFDM‐type DMRS 5G usable signals and Cluster‐Chl channel [2] for sensing using the proposed algorithm based on the 2D Kron OMP techniques. We consider both downlink and uplink sensing, where downlink and uplink communication signals are used for sensing, respectively.…”

“…Joint communication and radar/radio sensing (JCAS, also known as RadCom) has the potential to integrate radar/radio sensing into large‐scale mobile networks, as demonstrated in our works in [1–6], creating what we call a perceptive mobile network . On a unified sensing platform, as per the conceptual plot provided in Fig.…”