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Main Authors: Yang, Ran, Wei, Ning, Dong, Zheng, Zhang, Lin, Lyu, Wanting, Xiu, Yue, Bazzi, Ahmad, Assi, Chadi
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2601.14868
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author Yang, Ran
Wei, Ning
Dong, Zheng
Zhang, Lin
Lyu, Wanting
Xiu, Yue
Bazzi, Ahmad
Assi, Chadi
author_facet Yang, Ran
Wei, Ning
Dong, Zheng
Zhang, Lin
Lyu, Wanting
Xiu, Yue
Bazzi, Ahmad
Assi, Chadi
contents Movable antenna (MA) has emerged as a promising technology to flexibly reconfigure wireless channels by adjusting antenna placement. In this paper, we study a secured dual-functional radar-communication (DFRC) system aided by movable antennas. To enhance the communication security, we aim to maximize the achievable sum rate by jointly optimizing the transmitter beamforming vectors, receiving filter, and antenna placement, subject to radar signal-to-noise ratio (SINR) and transmission covertness constraints. We consider multiple Willies operating in both non-colluding and colluding modes. For noncolluding Willies, we first employ a Lagrangian dual transformation procedure to reformulate the challenging optimization problem into a more tractable form. Subsequently, we develop an efficient block coordinate descent (BCD) algorithm that integrates semidefinite relaxation (SDR), projected gradient descent (PGD), Dinkelbach transformation, and successive convex approximation (SCA) techniques to tackle the resulting problem. For colluding Willies, we first derive the minimum detection error probability (DEP) by characterizing the optimal detection statistic, which is proven to follow the generalized Erlang distribution. Then, we develop a minimum mean square error (MMSE)-based algorithm to address the colluding detection problem. We further provide a comprehensive complexity analysis on the unified design framework. Simulation results demonstrate that the proposed method can significantly improve the covert sum rate, and achieve a superior balance between communication and radar performance compared with existing benchmark schemes.
format Preprint
id arxiv_https___arxiv_org_abs_2601_14868
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Movable Antenna Empowered Covert Dual-Functional Radar-Communication
Yang, Ran
Wei, Ning
Dong, Zheng
Zhang, Lin
Lyu, Wanting
Xiu, Yue
Bazzi, Ahmad
Assi, Chadi
Signal Processing
Movable antenna (MA) has emerged as a promising technology to flexibly reconfigure wireless channels by adjusting antenna placement. In this paper, we study a secured dual-functional radar-communication (DFRC) system aided by movable antennas. To enhance the communication security, we aim to maximize the achievable sum rate by jointly optimizing the transmitter beamforming vectors, receiving filter, and antenna placement, subject to radar signal-to-noise ratio (SINR) and transmission covertness constraints. We consider multiple Willies operating in both non-colluding and colluding modes. For noncolluding Willies, we first employ a Lagrangian dual transformation procedure to reformulate the challenging optimization problem into a more tractable form. Subsequently, we develop an efficient block coordinate descent (BCD) algorithm that integrates semidefinite relaxation (SDR), projected gradient descent (PGD), Dinkelbach transformation, and successive convex approximation (SCA) techniques to tackle the resulting problem. For colluding Willies, we first derive the minimum detection error probability (DEP) by characterizing the optimal detection statistic, which is proven to follow the generalized Erlang distribution. Then, we develop a minimum mean square error (MMSE)-based algorithm to address the colluding detection problem. We further provide a comprehensive complexity analysis on the unified design framework. Simulation results demonstrate that the proposed method can significantly improve the covert sum rate, and achieve a superior balance between communication and radar performance compared with existing benchmark schemes.
title Movable Antenna Empowered Covert Dual-Functional Radar-Communication
topic Signal Processing
url https://arxiv.org/abs/2601.14868