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A novel multistatic integrated sensing and communication (ISAC) system based on macro–micro cooperation for the sixth-generation (6G) mobile network is proposed. Instead of using macrosites at both the transmitter and receiver sides, microsites are considered as receivers in cooperative sensing. This system is important since microsites can be deployed more flexibly to reduce their distances to the sensing objects, providing better coverage for sensing service. In this work, we first analyze the deployment problem of microsites, which can be deployed along the radius and azimuth angle to cover macrosite cells. The coverage area of each microsite is derived in terms of its position in the cell. Then, we describe an efficient estimating approach for obtaining the position and velocity of sensing objects in the macrosite cell. By choosing multiple microsites around the targeted sensing area, joint data processing with an efficient optimization method is also provided. Simulation results show that the multistatic ISAC system employing macro–micro cooperation can improve the position and velocity estimation accuracy of objects compared to systems employing macrosite cooperation alone, demonstrating the effectiveness and potential for implementing the proposed system in the 6G mobile network.

This paper introduces a W-band phased electromagnetic surface radar system. This phased electromagnetic surface works at 92～96 GHz and is manufactured with general PCB technology and processing accuracy requirements. The appropriate unit design makes the DC bias voltage of each PIN diode on the phased electromagnetic surface controlled for the current reversal purpose at a low cost and portability. A 180° phase shift of the unit cell can be provided as the current direction on the unit cell is reversed. Beam scanning in different directions can be formed when inputting the right spatial codes. This transmission type phased electromagnetic surface with the ability of beam scanning is used as the receiving antenna of the radar system. This paper presents a W-band phased electromagnetic surface radar system and its manufacture and measurement results, which are fundamental to further research of precision guidance, target identification, and imaging.

Smart noise jamming forms active jamming by intercepting, modulating, and forwarding radar signals into the radar receiver, which seriously affects the radar range recovery performance. In this paper, we propose a novel waveform design approach and an efficient range recovery method for high-resolution radar in the jamming scenario. Firstly, we propose an intra-pulse frequency-coded frequency-modulated continuous waveform (IPFC-FMCW), which contains multiple FMCW chips with different widths and frequencies, to combat the smart noise jamming. After the jamming suppression, the proposed waveform has a low sidelobe level, which is different from traditional FMCW signals for which the observations are periodically missing, resulting in high sidelobe levels. Then, to improve the range recovery performance of the waveform after jamming suppression, we optimize the range profile by designing the transmit waveform and then solve it by a simulated annealing algorithm. Next, based on the designed waveform, we derive the echo model after jamming suppression and propose a gridless compressed sensing (CS) method to recover the range of the targets. Compared with the existing waveforms and methods, the proposed waveform and the processing method achieve better range recovery performance in the jamming scenario. Numerical simulations are utilized to demonstrate the range recovery effectiveness of the proposed waveform and method in smart noise jamming.

Based on the similarity between industrial cluster and biological population, this paper attempts to study the dynamics of niche between upstream and downstream enterprises with the predator–prey relationship from a new perspective of population ecological theory. A predator–prey model on upstream and downstream enterprises with the Holling II response function is established. Via limit cycle theory, stability theory, and system analysis methods, the interrelation of the inventory level in upstream and downstream enterprises is studied and some corresponding meanings of management are discussed. In addition, numerical examples are given to verify the correctness of the conclusions. Finally, according to the relevant conclusions, some policy suggestions are provided for the development of upstream and downstream enterprises in cluster supply chain.