- PAMI2024
- mmWave
- conference
- mmWave
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Phased Array Antennas
Millimeter wave (mmWave) radar technology is rapidly advancing due to the use of phased array antennas, a key component that enables range, resolution, and efficiency improvements. Phased array antennas consist of small antenna elements arranged in a specific configuration to create an array, which can be focused onto a specific direction by adjusting the phase angle. This results in improved target detection and higher signal-to-noise ratios compared to traditional antennas. Phased array antennas also offer advantages such as increased efficiency, better performance in harsh environments, and reduced size and weight requirements for mmWave radar systems. Applications of phased array antennas include airborne and ground-based radar systems, as well as vehicle-mounted radar systems.
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Perimeter Surveillance Systems
Perimeter surveillance systems using millimeter wave radar (MWIR) sensors have revolutionized security in real-time by detecting and tracking potential intruders or objects on the perimeter. Unlike traditional security measures, MWIR can detect objects that are completely opaque or partially transparent. The key features of MWIR sensors include long range, high sensitivity, low radiation, weather resistance, and easy integration. Applications of MWIR in perimeter surveillance systems include airport security, public space surveillance, and industrial facilities.
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Pedestrian Detection and Protection
Pedestrian detection and protection is a critical issue in modern transportation systems. Millimeter-wave radar (MWIR) is a type of radar that can detect pedestrians with ease due to its high sensitivity, long range, and real-time capabilities. MWIR radar can be integrated into streetlights, crossings, security cameras, and emergency response systems to improve safety in public spaces by providing better visibility for pedestrians and detecting intruders. As research continues in this field, we can expect to see more advanced applications of MWIR radar in pedestrian detection and protection.
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Particle Filters in Nonlinear Tracking
Particle filters are a type of Monte Carlo simulation used for nonlinear tracking. They use random samples to estimate system states and can represent any continuous or discrete state space. The algorithm generates a set of particles at the beginning of each time step, with each particle representing a possible state. The probability of drawing a particle from the true state distribution is proportional to its weight. The algorithm updates the weights of particles based on observed data, selecting the most likely particle as the new state estimate. Despite their limitations, particle filters have been successfully applied in fields such as autonomous driving and robotics.
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Obstacle Detection and Mapping
Millimeter wave radar (MWIR) is a type of radar that operates at frequencies between 30 GHz and 300 GHz, using infrared light instead of electromagnetic waves. It offers several advantages over traditional methods, including high resolution in poor visibility conditions, longer range, and higher speed without compromising accuracy. MWIR radar has applications in obstacle detection and mapping in autonomous driving systems and robotics. However, challenges such as cost and material interference need to be addressed. Despite these challenges, MWIR radar holds great promise for improving obstacle detection and mapping in various fields.