In order to make full use of measurement information provided by sensors on the aerial carriers and efficiently make maneuvering target tracking under complicated conditions, this paper studies tracking methods of joint maneuvering target by airborne radar and Electronic Support Measure (ESM). Based on Interacted Multiple Model-Blue Linear Unbiased Estimation (IMM-BLUE) algorithm, this paper we...

In autonomous driving vehicles, the emergency braking system uses lidar or radar sensors to recognize surrounding environment and prevent accidents. The conventional classifiers based on data using deep learning are single input structures range–Doppler maps micro-Doppler. Deep with a structure has limitations in improving classification performance. this paper, we propose multi-input classifie...

Passive, bistatic radar offers an attractive method for remotely detecting and imaging targets without the requirement of a dedicated transmitter. Passive radar systems are usually cheaper than their active counterparts, which easily allows for multi-sensor networks. Furthermore, passive radar systems are difficult to detect and jam. With these advantages come several challenges, however. Bista...

Introduction Weather radars are commonly employed for detection and ranging of precipitation, but radars with Doppler capability can also provide detailed information on the wind associated with (severe) weather phenomena. The Royal Netherlands Meteorological Institute (KNMI) operates two identical C-band (5.6 Ghz) Doppler weather radars. One radar is located in De Bilt and the other one is loc...