Joint Delay-Doppler-Angle Estimation for Multi-Target Sensing and Localization in Monostatic ISAC Systems

IF 8 1区计算机科学 Q1 TELECOMMUNICATIONS

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2026-01-01 Epub Date: 2026-06-17 DOI:10.1109/TCCN.2026.3704552

Jizhou Wang;Wen Liu;Zhongliang Deng;Heng Kang

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Abstract

Integrated sensing and communication (ISAC) is a pivotal technology for next-generation mobile networks, aiming to empower communication systems with high-precision sensing capabilities. This paper presents a monostatic ISAC system architecture that leverages joint multiplexing in the delay-Doppler (DD) and time-frequency (TF) domains to broadcast integrated signals. From this architecture, we propose a comprehensive sensing method for multiple targets. The proposed method begins with rapid estimation of integer delay and Doppler taps, followed by angle estimation using the quadratic-interpolation fast Fourier transform (QI-FFT) applied to each decoupled target. Subsequently, a refined range-velocity estimation is achieved through the novel trust region orthogonal matching pursuit (TR-OMP) algorithm. This integrated process enables accurate monostatic localization of multiple targets. Simulation results demonstrate that the proposed method achieves robust noise resilience, fast convergence, and high accuracy in multi-target sensing and localization.

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单静态ISAC系统中多目标传感与定位的联合时延-多普勒角估计

集成传感和通信（ISAC）是下一代移动网络的关键技术，旨在增强通信系统的高精度传感能力。本文提出了一种单静态ISAC系统架构，该架构利用延迟多普勒（DD）和时频（TF）域的联合多路复用来广播集成信号。在此基础上，提出了一种多目标综合传感方法。该方法首先快速估计整数延迟和多普勒抽头，然后利用二次插值快速傅里叶变换（QI-FFT）对每个解耦目标进行角度估计。随后，通过新的信任域正交匹配追踪算法（TR-OMP）实现了精确的距离-速度估计。这种集成过程可以实现多个目标的精确单稳态定位。仿真结果表明，该方法具有抗噪声能力强、收敛速度快、多目标定位精度高等特点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Cognitive Communications and Networking Computer Science-Artificial Intelligence

CiteScore

15.50

自引率

7.00%

发文量

108

期刊介绍： The IEEE Transactions on Cognitive Communications and Networking (TCCN) aims to publish high-quality manuscripts that push the boundaries of cognitive communications and networking research. Cognitive, in this context, refers to the application of perception, learning, reasoning, memory, and adaptive approaches in communication system design. The transactions welcome submissions that explore various aspects of cognitive communications and networks, focusing on innovative and holistic approaches to complex system design. Key topics covered include architecture, protocols, cross-layer design, and cognition cycle design for cognitive networks. Additionally, research on machine learning, artificial intelligence, end-to-end and distributed intelligence, software-defined networking, cognitive radios, spectrum sharing, and security and privacy issues in cognitive networks are of interest. The publication also encourages papers addressing novel services and applications enabled by these cognitive concepts.