DOA Estimation for Low-Altitude Networks: HAD Architectures, Methods, and Challenges
Ye Tian, Tuo Wu, Jintao Wu, He Xu, Yuanjun Shen, Xianfu Lei, Kin-Fai Tong

TL;DR
This paper reviews HAD architectures and methods for DOA estimation in low-altitude networks, addressing challenges and proposing research directions for reliable ISAC applications.
Contribution
It provides a comprehensive overview of HAD-enabled DOA estimation techniques, highlighting their advantages, challenges, and future research directions in low-altitude environments.
Findings
HAD architectures enable scalable beam-centric and ISAC operations.
Various DOA estimation methods are adapted for HAD systems, including SCM reconstruction and pilot-aided estimation.
Open challenges include robustness and deployment reliability in practical scenarios.
Abstract
With the rapid expansion of low-altitude economy (LAE) services and the growing demand for integrated sensing and communication (ISAC) in air-ground networks, reliable direction-of-arrival (DOA) estimation has become essential for both directional communication and sensing functions. DOA underpins beam alignment, spatial-reuse scheduling, and ISAC-critical tasks such as airspace situational awareness and multi-target monitoring. Hybrid analog-digital (HAD) architectures have emerged as a practical solution for large-aperture directional operation under stringent radio frequency (RF), analog-to-digital converter (ADC), and size, weight, and power (SWaP) constraints. However, HAD compresses antenna-domain observations through analog combining, fundamentally reshaping the measurement model and introducing new algorithmic and system-level challenges for DOA estimation. This article first…
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