The widespread deployment of multiple radio-frequency (RF) devices on complex platforms poses critical challenges for spectrum coexistence. Excessive radiated emissions and insufficient radiated susceptibility can cause intolerable interference, whereas traditional electromagnetic compatibility (EMC) design typically enforces uniform limits across all devices. Such uniformity neglects system heterogeneity, resulting in constraints with excessive interference margins or compromised system-level robustness. To address this issue, we propose a Joint Tailoring of Radiated Emission and Susceptibility Limits (JTRESL) framework. Explicitly accounting for the physical link between emission and immunity, a radiation coupling network model is first developed to characterize electromagnetic interference among devices. Based on this model, a multiobjective optimization formulation is established to balance interference immunity, implementation cost, and spectral smoothness, while incorporating engineering constraints. The resulting nonconvex problem is solved using an iterative algorithm based on sequential quadratic programming, which updates tailoring variables frequency-by-frequency and jointly optimizes emission limits and susceptibility thresholds. Experiments in a multidevice anechoic chamber demonstrate that the proposed method effectively eliminates interference states, controls engineering cost, and produces smooth limit curves. This enables targeted tightening in high-risk bands and appropriate relaxation in overly conservative bands. Overall, JTRESL provides an efficient and feasible solution to enhance EMC and spectrum coexistence in heterogeneous multiple RF platforms.

The purpose of the electromagnetic compatibility conducted susceptibility test for interconnected cables in the system is to evaluate its ability to operate acceptably when subjected to interference. We propose a novel conducted susceptibility analysis approach: by injecting the Gaussian even pulse signal, we find that the susceptibility threshold of the system shows two different patterns with the change of signal parameters; then we locate the cause of the susceptibility of the device by analyzing the threshold level curves. The effectiveness of the proposed approach is verified by testing with devices containing digital modules such as navigation receivers. The proposed approach facilitates a deeper understanding of the susceptibility mechanism of systems and their appropriate electromagnetic compatibility design.

In this paper, a novel conducted susceptibility (CS) test system is proposed to analyze broadband interference for equipment under test (EUT). This system can quickly locate the susceptibility frequency bands and effectively find the susceptibility thresholds. The system can generate a unipolar or bipolar Gaussian pulse signal with a pulse width of less than 720 ps to perform these functions. In addition, the pulse amplitude can be adjusted from ±50 V to ±1.5 kV under a 50 Ω resistance load. The repetition frequency is adjustable within the range of 1 Hz to 1 kHz. The pulse spacing of the bipolar Gaussian pulse signal can be controlled from 0.25 ns to 12 ns in the step of 0.25 ns. In detail, a CS test on an electric vehicle was performed with the proposed system and an existing CS system. By using the proposed system, three potential problems of electric vehicles were predicted, susceptible frequency bands were located, and susceptibility thresholds were determined. The proposed method has high test efficiency and high reliability.

With the increasing complexity and interweaving of noncooperative communication scenarios, communication receivers are increasingly subjected to varied and complex electromagnetic interference, making the prediction of their operational states and performance critical. Currently, modulated and noise interference often exhibit broadband characteristics, rendering existing methods inadequate. Thus, new solutions for broadband interference are urgently needed. To address this issue, this article proposes a multitask physics-informed neural network (MTL-PINN) prediction model based on the function-performance association of receivers, considering both signal processing flow and communication quality. The application scope of the CS105 testing standard is expanded within this framework. Specifically, quantification indicators for broadband interference is introduced for the power spectrum at the antenna port, and by using a 16 quadrature amplitude modulation receiver as an example, the interference quantification indicators are innovatively integrated into the bit error rate calculation formula to construct a knowledge model. Subsequently, the MTL-PINN architecture is designed to effectively merge this knowledge model with test data. Comparative experiments demonstrate that the proposed model significantly reduces the need for extensive test data, while improving prediction accuracy and generalization across diverse interference scenarios, providing an effective tool for assessing the electromagnetic susceptibility of communication receivers under broadband interference.

The next generation of industrial Internet of Things (IoT) dominated by uncrewed aerial vehicle (UAV) relies on the coordinated operation of heterogeneous UAV-mounted transceiver cluster (HUTC) in constrained environments. However, the electromagnetic resources available to these transceivers deployed in crowded spaces are limited, and the resulting spectrum conflicts can easily lead to difficulties in aerial sensing, computing, and networking. Beyond interference from external sources, spectrum allocation in dense spaces is further complicated by interference from frequency-domain neighbors, making efficient resource allocation challenging. Thus, this article utilize the electromagnetic interference (EMI) characteristics of heterogeneous transceivers as prior knowledge and proposes an innovative joint spectrum and power allocation based on better response (JSPA-BR) method to tackle the EMI problem in HUTC composed of heterogeneous transceivers. More specifically, we construct a game-theoretic model for joint spectrum and power allocation, and it is proved that the model constitutes an exact potential game (EPG) with at least one Nash equilibrium (NE) point. We then design the JSPA-BR algorithm which can converge quickly and approach the global optimal solution. Simulations and measurements show that this method maximizes the use of limited spectrum resources. It also mitigates EMI between transceivers and the external radiation of the system. It achieves electromagnetic compatibility of HUTC, thereby demonstrating the effectiveness and accuracy of the proposed approach.