Intelligent fusion of integrated sensing and communication signal on the UAV platform

Recently, Unmanned Aerial Vehicle (UAV)assisted communication and UAV-assisted sensing has attracted great attention due to the excellent performance of high mobility., flexible deployment, and low costs. However, UAV communication loads and radar loads are independent of each other at present, leading to a lower spectral efficiency and a higher hardware cost. With the evolution of integrated sensing and communication (ISAC), the capacities of UAV communication and sensing are in the trend of integration. For ISAC-empowered UAV platforms, the efficient utilization of ISAC signal seems significant to pursue the integration gain. Motivated by this, the intelligent fusion issue of communication signal and sensing signal is mainly discussed at a ISACempowered UAV platform in this paper. We firstly propose an ISAC signal compression framework based on Generative Adversarial Network (GAN) to reduce the information entropy of the input signal. Then two ISAC signal fusion frameworks are designed based on deep semantic matching and multi-layer semantic matching, respectively. The proposed intelligent fusion frameworks can efficiently fuse the communication signal and sensing signal for the further information sharing between UAVswarms.

I. Introduction

In recent years, a superimposed system structure is widely applied to traditional multi-functional electronic platforms and the basic functions between the platform are separated from each other, including radar and communication. This leads to the lack of coordination and integration of individual functional units within the platform and the lack of platform that achieves the overall coordination of inter-functional units from the underlying mechanism to the upper-level application. However, with the exploration of new functions in vertical scenarios, the technological progress of electronic devices and the large-scale application of ultra-high frequency systems, the functional boundaries of communication and sensing developed gradually blurred, showing a trend of integration and coordination. The integrated sensing and communication (ISAC) [1] not only deepens the original problems that contains the communication interference cancellation and sensing performance, but also brings more severe challenges to the existing theoretical systems related to radar, communication, computing, electromagnetics and integrated circuits.