Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications

TL;DR

This paper presents a novel hybrid digital-analog radar system for extended target parameter estimation and tracking in ISAC applications, incorporating adaptive beamwidth selection and validated through realistic simulations.

Contribution

It introduces a simplified maximum likelihood estimation and tracking framework for HDA radar systems with adaptive beamwidth control in ISAC scenarios.

Findings

Effective parameter estimation and tracking demonstrated in complex motion scenarios.

Adaptive beamwidth selection improves communication and sensing performance.

Numerical simulations confirm the framework's robustness and practicality.

Abstract

We investigate radar parameter estimation and beam tracking with a hybrid digital-analog (HDA) architecture in a multi-block measurement framework using an extended target model. In the considered setup, the backscattered data signal is utilized to predict the user position in the next time slots. Specifically, a simplified maximum likelihood framework is adopted for parameter estimation, based on which a simple tracking scheme is also developed. Furthermore, the proposed framework supports adaptive transmitter beamwidth selection, whose effects on the communication performance are also studied. Finally, we verify the effectiveness of the proposed framework via numerical simulations over complex motion patterns that emulate a realistic integrated sensing and communication (ISAC) scenario.