Results 1 to 10 of about 5,824,692 (290)
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 +4 more sources
Fusion Detection for Networked Radar Aided by Doppler Information
Compared with single-radar systems, spatially separated networked radar usually has better detection performance due to its advantages of spatial and frequency diversities.
Chang GAO +4 more
doaj +1 more source
Single‐station radar‐based UAV position estimation in complex urban environments
In the complex electromagnetic environment of cities, detection and positioning of slow and small unmanned aerial vehicles (UAVs) have always been a very challenging research topic.
Xiaoyan Bi, Di Bai, Yongqiang Cui
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
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 +3 more sources
Scaling up MIMO Radar for Target Detection [PDF]
8 pages, 2 figures. This is the extended version (with all the proofs in Appendices) of a paper that will be presented at ICASSP 2019, 12-17 May, 2019, Brighton ...
Fortunati S. +3 more
openaire +5 more sources
A CFAR Algorithm Based on Monte Carlo Method for Millimeter-Wave Radar Road Traffic Target Detection
The development of Intelligent Transportation Systems (ITS) puts forward higher requirements for millimeter-wave radar surveillance in the traffic environment, such as lower time delay, higher sensitivity, and better multi-target detection capability ...
Bo Yang, Hua Zhang
doaj +1 more source
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
In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background.
Xiaohan Yu +5 more
doaj +1 more source
Status and Prospects of Feature-based Detection Methods for Floating Targets on the Sea Surface
Radar target detection in sea clutter is of significance to both civilian and military. With the miniaturization and invisibility of sea targets, floating small targets with slow speed have become the focus of radar detection.
Shuwen XU +3 more
doaj +1 more source

