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Study on Quantum Radar Detection Probability Based on Flying-Wing Stealth Aircraft [PDF]
The development of quantum radar technology presents a challenge to stealth targets, so it is necessary to study the quantum detection probability. In this study, an analytical expression of the quantum radar cross section (QRCS) for complex targets is ...
Shaoze Lu +4 more
doaj +4 more sources
In this paper, a study of UWB receivers in terms of detection theory is presented. The UWB radar which is presented in many works previously [1]–[3] has many applications. For road UWB radar application, the receiver based on correlation is the optimum receiver [4]. In fact, it maximizes the probability of detection.
Sakkila, Laila +4 more
openaire +2 more sources
Massive MIMO Radar for Target Detection [PDF]
12 pages, 6 figures, accepted for publication in IEEE Transactions on Signal Processing.
Stefano Fortunati +4 more
openaire +3 more sources
Low observable moving target-detection technology under clutter background is the key factor affecting the radar performance. Here, frequency diverse array (FDA) MIMO radar is investigated for low-observable moving target detection.
Xiaolong Chen +5 more
doaj +1 more source
FMWC radar for breath detection [PDF]
We report on the experimental demonstration of an FMCW radar operating in the 25.7–26.6 GHz range with a repetition rate of 500 sweeps per second. The radar is able to track the breathing rate of an adult human from a distance of 1 meter. The experiments have utilized a 50 second recording window to accurately track the breathing rate.
Suhr, Lau Frejstrup +2 more
openaire +1 more source
The SIMCA algorithm for processing Ground Penetrating Radar data and its use in landmine detection [PDF]
The main challenge of ground penetrating radar (GPR) based land mine detection is to have an accurate image analysis method that is capable of reducing false alarms.
Cockshott, W.P. +3 more
core +1 more source
Radar Target Detection with CNN
Target detection is a fundamental radar application that is traditionally carried out by Constant False Alarm Rate (CFAR) detectors. This paper proposes a Convolutional Neural Network (CNN) based detector (RadCNN) to replace the standard CFAR detectors for a typical pulsed Doppler radar.
openaire +2 more sources
Motion classification for radar moving target via STFT and convolution neural network
Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou +3 more
doaj +1 more source
Radar maneuvering target detection in clutter background should not only consider the complex characteristics of the target to accumulate its energy as much as possible, but also suppress clutter to improve the signal-to-clutter ratio (SCR).
Xiaolong Chen +3 more
doaj +1 more source
The tropopause has been detected by ultrasensitive, narrow-beam, microwave (10.7-centimeter) and ultrahigh-frequency (71.5-cm) radars. Its reflectivity is consistent with that expected theoretically for a refractively turbulent medium. Indications are that the layer is also mechanically turbulent, and that electromagnetic scatter techniques may be used
D, Atlas +4 more
openaire +3 more sources

