Wen Wu

Owing to the stringent spatio-temporal coupling and kinematic constraints, the task allocation problem for heterogeneous unmanned aerial vehicle (UAV) swarms is generally regarded as an NP-hard problem. To address this, this paper proposes the Sequentially Extended Consensus-Based Bundle Algorithm (SECBBA), a deadlock-free distributed scheduling framework. First, a multi-task allocation model is established by incorporating constraints associated with payload resources, task scheduling, and threat zone. Subsequently, the conventional Consensus-Based Bundle Algorithm (CBBA) is extended through the integration of a deadlock detection and resolution mechanism based on directed graph Depth-First Search (DFS), thereby guaranteeing conflict-free task allocation. Furthermore, a sequential hierarchical strategy is introduced to transform global temporal dependencies into tractable soft time-window constraints. Finally, to ensure physical feasibility, Dubins curves are tightly coupled with the allocation process, enabling nonholonomic path planning for fixed-wing UAVs. Simulation results demonstrate that SECBBA reduces global task costs by 13.3%, 22.7%, and 39.4% compared to the Consensus-Based Bundle Algorithm with Temporal Consistency Constraints (CBBA-TCC), Improved Genetic Algorithm (IGA) and Q-Learning baselines, respectively. It consistently maintains performance advantage of 9.8%, 23.2% and 19.0% under variable weights with high computational efficiency, significantly enhancing swarm timeliness in complex, coupled multi-task scenarios.

This paper proposes a novel jamming multiplexing communication method for synthetic aperture radar (SAR) imaging in scatter-wave jamming (SWJ) scenarios. This method multiplexes communication information by modulating a weak phase in the slow time dimension of the SWJ signal. After receiving the signal, the ground communication station (CS) extracts the information according to the designed algorithm, thus achieving communication transmission. Specifically, a detailed signal model is established to describe the modulation and demodulation mechanism of the communication information. The impact of communication modulation on the SAR image is theoretically analyzed, and the bit error rate (BER) performance of the communication transmission is evaluated. Due to the use of high-gain matched filtering technology in the communication demodulation process, the proposed method achieves better communication BER performance in low signal-to-noise ratio (SNR) environments without significantly reducing jamming performance. Simulation results show that the proposed method achieves reliable information transmission while maintaining effective SWJ capability.

Orbital angular momentum (OAM) waves exhibit orthogonal phase characteristics and have attracted considerable interest in wireless communications, radar imaging, and electromagnetic sensing applications. This paper presents a compact planar OAM filtenna that integrates an incomplete uniform circular array (UCA), a spiral spoof surface plasmon polaritons (SSPPs) waveguide, and a half-mode substrate integrated plasmonic waveguide (HMSIPW) filter. The SSPPs feed excites sequentially rotated circularly polarized elements to generate vortex waves, while the HMSIPW introduces bandpass filtering without increasing the size. Theoretical analysis establishes the mode relation, revealing the OAM generation mechanism. Simulated and measured results confirm frequency-selective radiation from 4.12 to 5.82 GHz, with six modes and mode purities up to 0.96. The proposed filtenna achieves compact, high-purity, and frequency-reconfigurable OAM radiation, showing great potential for wireless communication and radar imaging systems.

Movable Antenna (MA) technology is emerging as a promising advancement with the potential to significantly enhance the performance of future wireless communication and sensing systems. In this paper, we address two-dimensional (2D) direction of arrival (DOA) estimation via joint shape-position optimization. Specifically, we formulate an optimization problem aimed at minimizing the Cram´er-Rao Bound (CRB) based on a 2D DOA estimation model for MA systems. To tackle the highly non-convex nature of this CRB minimization, we investigate the spatial utilization of the movable region (MR) under minimum antenna spacing constraints. By demonstrating that an equilateral triangle yields the minimum overlap area, we strategically design an equilateral triangular MR. This specific geometric configuration enables the exploitation of structural symmetry to simplify the geometric constraints, which effectively reduces the complexity of solving the optimization problem. Subsequently, we derive the optimal MA positions by selecting the candidate locations farthest from the centroid of MR. The results demonstrate that the proposed joint shape-position optimization substantially enhances 2D DOA estimation performance.

Computational microwave imaging (CMI) based on metasurface apertures effectively simplifies the system hardware. However, conventional random-field approaches suffer from low energy efficiency, leading to a poor signal-to-noise ratio (SNR) that severely degrades imaging quality. To address this, this letter proposes a bunching imaging method featuring a steerable region of interest (ROI) utilizing a 1-bit transmissive coding metasurface and experimentally validates its performance. By partitioning the aperture into subarrays and programming each to focus on a random point within the ROI, the proposed strategy addresses the trade-off between energy concentration and pattern diversity. Experimental results demonstrate that this transmissive implementation increases the peak power of the radiated field by approximately 13 dB over the conventional method while maintaining low mutual coherence. This enhancement leads to improved imaging quality under real experimental conditions, validating the proposed system as an effective solution for high-SNR computational imaging.

In this work, an antenna with dual-polarized wideband reconfigurable radar cross section (RCS) is proposed, which consists of a radiating antenna surrounded by a chessboard metasurface. In this design, RCS manipulation is achieved by controlling the phase difference of the metasurface. Different from other approaches, which adjust the RCS through phase control by altering the unit cell structures, the back-loaded radio frequency circuit (BLRFC) is introduced into the metasurface design to control the phase difference at circuit level. The scheme uses antenna arrays to receive and radiate electromagnetic wave and back-loaded circuits for phase control. The array and circuits are separated and decoupled by the shared ground, enabling their independent design and flexible control. Dual-polarized wideband RCS control can be easily achieved by selecting appropriate antennas and circuits. In this work, the phase difference of 180° and 0° are selected as examples to realize low RCS and high reflectivity performance, respectively. By loading diodes to the circuits, the phase difference can be electrically controlled, achieving the reconfigurable RCS. Simulation results show that under dual polarized incidence, the RCS dynamic range of the proposed antenna is more than 6 dB within the 8 - 17 GHz band, and the performance remains stable within an incidence angle range of 30°. Measured results agree well with simulated ones, validating the proposed scheme.