Browse Topic: Radar
Just one year after signing a ground-breaking trilateral agreement, the Deep Space Advanced Radar Capability partnership is completing facilities construction at the first of three sites that will host a global network of advanced ground-based sensors.
Hensoldt Taufkirchen, Germany nico.fritz@hensoldt.net
Naval Air Systems Command Patuxent, MD navairpao@us.navy.mil
As infrastructure ages, it becomes more susceptible to failure, which can cause safety and mobility concerns for drivers and pedestrians, and economic woes for taxpayers. A recent study published in “Transportation Research Record” shows that high-resolution synthetic aperture radar (SAR) satellite data can detect infrastructure issues early on, which can help prevent further damage to roads in the same way that annual checkups can help prevent more complex health issues in humans.
The final frontier in digital transformation is the analog edge, where apertures and actuators meet the mission. Buried behind layers of firmware and analog mitigation, open architecture has a new frontier to conquer, and the opportunity starts at the component level, where digital transformation and the miniaturization enabled by Moore's Law is having its biggest impact. Miniature, modular, and intelligent gateways can be embedded into analog components to replace and re-imagine old firmware and analog mitigation circuitry. These new, embedded gateways promise to bring open architecture deeper into the tactical edge and realize a new level of agility throughout the lifecycle of a system, from design through sustainment of hybrid digital and analog systems.
Hensoldt Taufkirchen, Germany lothar.belz@Hensoldt.net
Automotive radar plays a crucial role in object detection and tracking. While a standalone radar possesses ideal characteristics, integrating it within a vehicle introduces challenges. The presence of vehicle body, bumper, chassis, and cables in proximity influences the electromagnetic waves emitted by the radar, thereby impacting its performance. To address these challenges, electromagnetic simulations can guide early-stage design modifications. However, operating at very high frequencies around 77GHz and dealing with the large electrical size of complex structures demand specialized simulation techniques to optimize radar integration scenarios. Thus, the primary challenge lies in achieving an optimal balance between accuracy and computational resources/simulation time. This paper outlines the process of radar vehicle integration from an electromagnetic perspective and demonstrates the derivation of optimal solutions through RF simulation.
Phased array radar technology has been gaining popularity since its initial introduction in the 1960s and is now being used in a variety of applications, from military and defense to civilian sectors and even space exploration. This cutting-edge technology has revolutionized radar systems by offering unparalleled flexibility, precision, and speed. At the heart of phased array radar lies a sophisticated antenna system composed of numerous individual elements, each capable of independently emitting and receiving radio waves. Unlike traditional radar systems that rely on mechanically rotating antennas, phased array radars electronically steer their beams, enabling rapid and precise target acquisition. This breakthrough is made possible by meticulously controlling the phase of radio waves emitted from each antenna element.
Southwest Research Institute has developed off-road autonomous driving tools with a focus on stealth for the military and agility for space and agriculture clients. The vision-based system pairs stereo cameras with novel algorithms, eliminating the need for LiDAR and active sensors.
Researchers at the University of California, Davis, have developed a proof-of-concept sensor that may usher in a new era for millimeter wave radars. They call its design a “mission impossible” made possible.
Radio frequency (RF) and microwave signals are integral carriers of information for technology that enriches our everyday life – cellular communication, automotive radar sensors, and GPS navigation, among others. At the heart of each system is a single-frequency RF or microwave source, the stability and spectral purity of which is critical. While these sources are designed to generate a signal at a precise frequency, in practice the exact frequency is blurred by phase noise, arising from component imperfections and environmental sensitivity, that compromises ultimate system-level performance.
Traditional autonomous vehicle perception subsystems that use onboard sensors have the drawbacks of high computational load and data duplication. Infrastructure-based sensors, which can provide high quality information without the computational burden and data duplication, are an alternative to traditional autonomous vehicle perception subsystems. However, these technologies are still in the early stages of development and have not been extensively evaluated for lane detection system performance. Therefore, there is a lack of quantitative data on their performance relative to traditional perception methods, especially during hazardous scenarios, such as lane line occlusion, sensor failure, and environmental obstructions. We address this need by evaluating the influence of hazards on the resilience of three different lane detection methods in simulation: (1) traditional camera detection using a U-Net algorithm, (2) radar detections using infrastructure-based radar retro-reflectors (RRs
Behrooz Rezvani, founder and CEO of Neural Propulsion Systems, cuts to the chase quickly. “We can improve the performance of any radar and help it see clearer, farther and sooner,” he said. Using a mathematical framework initially discussed in an MIT research paper 14 years ago, Rezvani says his company can take any manufacturer's radar unit and help it: Increase resolution by a factor of 10 for two-dimensional imaging Suppress 10 times the number of false positives Detect targets at twice the current distance with a lidar-like point-cloud density Differentiate notoriously difficult targets, such as pedestrians walking or standing next to parked vehicles NPS Executive Consultant Lawrence Burns, the former head of GM research and development, has seen plenty of advancements during deep involvement with the development of night vision and adaptive cruise control. But he always knew existing radar systems were not yet the answer for the future needs of hands-free driving and other
Northrop Grumman Corporation is developing AN/APG-85, an advanced Active Electronically Scanned Array (AESA) radar for the F-35 Lightning II. Northrop Grumman currently manufactures the AN/APG-81 active electronically scanned array (AESA) fire control radar, the cornerstone to the F-35 Lightning II’s sensor suite.
Researchers have created a device that enables them to electronically steer and focus a beam of terahertz electromagnetic energy with extreme precision. This opens the door to high-resolution, real-time imaging devices that are hundredths the size of other radar systems and more robust than other optical systems.
Raytheon Arlington, VA 202-384-2474
Provizio promises its 5D Perception stack can safely compete with expensive lidar sensors at a fraction of the cost. “Safety first” is more than a catchphrase. For sensing company Provizio, it's the only way the transportation industry should introduce autonomous vehicles. In Provizio's view, using AV building blocks - technology such as automatic emergency braking and lane-keep assist - can be valuable in ADAS systems, but they should not be used to drive vehicles until the perception problem has been solved. “It's not that we're skeptical about autonomous driving, it's just that we strongly believe that the industry has taken this wrong path,” Dane Mitrev, machine learning engineer at Provizio, told SAE Media at September 2023's AutoSens Brussels conference. “The industry has looked at things the other way around. They tried to solve autonomy first, without looking at accident prevention and simpler ADAS systems. We are building a perception technology which will first eliminate road
A research team at the Illinois Institute of Technology has for the first time demonstrated the use of a novel control method in a tailless aircraft. The technology allows an aircraft to be as smooth and sleek as possible — making it safer to fly in dangerous areas where radar scans the sky for sharp edges.
Radio is a well-established technology. For over 100 years, it has been widely used: in communication, radar, navigation, remote control, remote sensing, and other respects. It is popular because it works; it is reliable. And yet laser has shown itself to be a superior medium of communication. Indeed, the laser-vs-radio debate is already getting old. What is new – and what will truly change the debate – are the transformations currently taking place in laser telecommunications – transformations which will drive innovation in defense.
Synthetic Aperture Radar (SAR) images are a powerful tool for studying the Earth’s surface. They are radar signals generated by an imaging system mounted on a platform such as an aircraft or satellite. As the platform moves, the system emits sequentially high-power electromagnetic waves through its antenna. The waves are then reflected by the Earth’s surface, re-captured by the antenna, and finally processed to create detailed images of the terrain below.
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