Adaptive Beam Broadening for DoA Estimation in Dynamic and Resource-Constrained DFRC Systems

TL;DR

This paper introduces an adaptive beam broadening technique for DoA estimation in resource-constrained DFRC systems, balancing radar and communication needs while maintaining reliable target detection.

Contribution

It proposes a low-latency, resource-aware method using time-sliced beam allocation and adaptive windowing for improved DoA estimation in dynamic DFRC environments.

Findings

Consistent target detection across all directions

Robust angle estimation under resource variability

Effective balancing of radar and communication functions

Abstract

Dual-function radar communication (DFRC) systems incorporate both radar and communication functions by sharing spectrum, hardware and radio frequency (RF) chains. In this work, we consider a conceptual DFRC scheduler model which shares RF chains between radar and communication functions. If such a scheduler is tuned for prioritizing communication performance, the RF chains and time allocated to radar are less and varying. We propose a practical, low-latency and resource-aware technique for sensing the entire field-of-view (FOV) and Direction-of-Arrival (DoA) estimation in such settings by leveraging time-sliced beam allocation along with adaptive windowing. This results in a balanced cumulative array factor over the FOV thereby ensuring better DoA estimation reliability. Extensive simulation studies show that the technique has consistent target detection and angle estimation performance in all directions and adapts to varying resource availability with time.