The indoor single radar chair's radar beamforming technology significantly improves detection sensitivity in small spaces by optimizing the spatial distribution and energy focusing of electromagnetic waves. Its core principle is to leverage the coordinated operation of a multi-antenna array to dynamically adjust the phase and amplitude of each antenna element, resulting in a high-gain, narrow radar beam focused in the target direction while suppressing interference signals from non-target directions. This technology overcomes the performance bottleneck of traditional radar in complex environments and is particularly suitable for capturing subtle signals such as human micro-movements and posture changes in small spaces.
For signal focusing, beamforming technology achieves directional energy concentration through phase manipulation. The radar system calculates the phase delay of each antenna element in real time based on the target's location, causing the transmitted electromagnetic waves to constructively interfere in the target direction, significantly increasing the beam energy density. For example, when a user sits in the indoor single radar chair, the system quickly focuses the beam on the seat area, significantly enhancing the echo signal strength. This directional focusing not only improves signal reception sensitivity but also reduces background noise by minimizing spatial scattering, enabling clear target signal identification even in noisy environments.
Beamforming technology effectively mitigates multipath interference in small spaces through adaptive spatial filtering. In indoor environments, electromagnetic waves are easily reflected by walls, furniture, and other objects, forming multipath signals, which can cause the target echo and interference signals to overlap. The beamforming system adjusts antenna weights to create nulls or low-gain areas in non-target directions, canceling or attenuating multipath interference signals at the receiver. For example, when the radar beam is focused directly in front of the seat, the system automatically suppresses reflections from side walls, preventing false target detections and improving detection accuracy.
Dynamic beam tracking is another key to improving sensitivity. As the user moves or changes posture, the radar system must adjust the beam direction in real time to maintain signal lock. Beamforming technology utilizes high-speed digital signal processing algorithms, combined with target motion prediction models, to achieve microsecond-level beam pointing updates. For example, when a user shifts from a sitting position to leaning forward, the system can quickly adjust the beam from the center of the seat to the user's chest, ensuring a stable echo signal. This dynamic adaptability enables the indoor single radar chair to maintain high sensitivity even in complex human motion scenarios.
Multi-beam parallel processing technology further extends detection range and sensitivity. By generating multiple independent beams within the same frequency band, the system can simultaneously cover multiple areas around the seat and independently optimize each beam. For example, one beam can focus on detecting contact with the seat surface, another on monitoring the user's breathing rate, and a third on tracking gestures. This multi-task parallel processing mode not only improves spatial resolution but also enhances weak signal extraction by mitigating inter-beam interference, enabling the indoor single radar chair to perceive richer information about the human body.
The collaborative optimization of hardware and algorithms provides the foundation for this enhanced sensitivity. The Hyundai indoor single radar chair utilizes a highly integrated phased array antenna. By reducing element spacing and increasing the number of antennas, it achieves more precise beam steering. Furthermore, the deep learning-based adaptive beamforming algorithm automatically learns environmental characteristics and dynamically adjusts weighting parameters, ensuring optimal performance even in complex scenarios. For example, the algorithm can be trained to recognize the reflective properties of furniture made of different materials, thereby optimizing the beamforming strategy and reducing invalid signal interference.
In terms of application results, beamforming technology enables the indoor single radar chair to perform exceptionally well in scenarios such as human presence detection and vital sign monitoring. Its high sensitivity enables it to capture millimeter-level human movements, such as heartbeat, chest rise and fall caused by breathing, and even subtle muscle tremors. This capability provides reliable data support for applications such as health monitoring and human-computer interaction, and promotes the evolution of radar technology from traditional detection to refined perception.
