Important requirements for automotive radar are high resolution, low hardware cost, and
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …

This article addresses the signal processing challenges for the design of a radar-on-chip/in-
package in the autonomous-driving era, taking into account recent integration trends and …

We consider the object recognition problem in autonomous driving using automotive radar
sensors. Comparing to Lidar sensors, radar is cost-effective and robust in all-weather …

Millimeter-wave (mmWave) joint communication-radar (JCR) will enable high data rate
communication and high-resolution radar sensing for applications such as autonomous …

The time division multiple access (TDMA) technique has been applied in automotive
multiple-input multiple-output (MIMO) radar. However, it suffers from the transmit energy …

In conventional fast-ramp-based target detection schemes for the frequency modulated
continuous wave (FMCW) radar systems, all chirp sequences are performed fully on two …

Although Global Navigation Satellite Systems (GNSSs) generally provide adequate
accuracy for outdoor localization, this is not the case for indoor environments, due to signal …

Fall is one of the main reasons for body injuries among seniors. Traditional fall detection
methods are mainly achieved by wearable and non-wearable techniques, which may cause …

The advent of consumer and industrial Unmanned Aerial Vehicles (UAVs), commonly
referred to as drones, has opened business opportunities in many fields, including logistics …

This paper presents the theoretical basis and experimental validation for a technique to
remotely characterize materials using FMCW radar sensors with complex baseband …