The cutting-edge PMCW (Phase-Modulated Continuous Wave) radar technology offers a more cost-effective solution compared to traditional 4D radars and LiDAR, breaking new ground in detecting static targets, significantly enhancing the dynamic range of radar measurements and its anti-interference capabilities.
The transition from traditional millimeter-wave radar from 3D to 4D, while theoretically increasing measurement dimensions, still faces industry challenges such as static target ghosting, weak target masking, and multipath interference. PMCW imaging radar is particularly adept at addressing issues of strong multipath and static target imaging that traditional millimeter-wave radars cannot resolve. Its strong penetration ability also enables it to handle environments with smoke, fog, and dust, which LiDAR cannot, making it a potential primary radar for ADAS systems.
Optical sensors, such as cameras and LiDAR, have shorter wavelengths and operate on the principle of photon reflection, where a beam of light corresponds to a point, providing high spatial resolution but unable to penetrate through fog and dust. A common trait of these sensors is that as distance increases, the beam spacing widens, potentially leading to missed targets. Millimeter-wave radar, on the other hand, is based on wave scattering, capable of penetrating fog and dust and directly measuring speed. Its characteristic is that it detects points where scattering is strong, and although it may not fully delineate contours, it is unlikely to miss targets as long as the radar energy reaches them.
Traditional millimeter-wave radars have evolved from 3D (lacking height information) to 4D (adding height measurement) and were initially used for dynamic target detection. However, they faced issues with high false alarm rates for static targets due to radar signal processing and target extraction mechanisms. PMCW technology, with its new digital phase modulation waveforms, signal processing, and target extraction mechanisms, improves point cloud quality and possesses a contour delineation capability similar to LiDAR, reducing false alarms. It achieves accurate detection of moving targets without missing them and static targets without adding ghost images.
Phasepoint radar systems are now able to deliver an impressive density of 200,000 points per second, a measurement previously associated only with LiDAR technology, and thereby offering comparable resolution and detail in object detection and mapping. Consequently, it underscores the potential of radar technology in applications requiring high-resolution, three-dimensional environmental data.
4D imaging radar surpasses traditional radar by offering an ultra-wide-angle view, providing fine resolution, and generating remarkably clear images. Traditional radar systems lack the ability to capture a comprehensive field of view, limiting their situational awareness. In contrast, 4D imaging radar boasts an expansive perspective, enabling detection of objects from multiple angles simultaneously. Its fine resolution ensures accurate object identification and tracking, even in complex environments. Moreover, it delivers cleaner, high-fidelity images, reducing clutter and false positives. This technological leap enhances safety and precision in applications like autonomous driving, making 4D imaging radar a transformative advancement in radar technology.
Phasepoint radar employs advanced high-gain 3D waveguide antennas, significantly extending its detection capabilities to reach distances of up to 320 meters. This impressive range allows for early identification and monitoring of objects, crucial for applications requiring long-range awareness such as autonomous driving, advanced security systems, and traffic management.
Beyond its extended range, the radar is distinguished by its sophisticated integration of target tracking algorithms. These algorithms are designed to accurately track the movement of objects, distinguishing between static and dynamic targets in real-time.
Radars, unlike LiDARs and cameras, are minimum affected by fog, rain, snow, dust, or dark, which can severely limit the performance of optical systems.
Due to its advanced PMCW anti-interference capability, Phasepoint radars exhibit the remarkable ability to provide clear imaging even in challenging scenarios where FMCW radars may introduce strong artifacts, such as in the dense water mist sprayed by a sprinkler truck, which has less consistency than normal rain or fog. Obtaining detailed and noise-free images under such conditions can be difficult.
Phasepoint radars excel in complex environments like garages and container ports where traditional FMCW radars are too noisy to use. Thanks to the PMCW technology, with a superior signal-to-noise ratio and reduced interference compared to FMCW radars, Phasepoint radars deliver clean and precise images by minimizing multi-path interference and clutter, making them ideal for navigating challenging spaces and finding versatile applications in autonomous vehicles, robotics, surveillance, and industrial automation.
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