Results 121 to 130 of about 372 (177)

Radar Constant-Modulus Waveform Optimization for High-Resolution Range Profiling of Stationary Targets. [PDF]

Sensors (Basel), 2017
Yue W, Li L, Xin Y, Han T.
europepmc   +1 more source

A Novel Monopulse Angle Estimation Method for Wideband LFM Radars. [PDF]

Sensors (Basel), 2016
Zhang YX, Liu QF, Hong RJ, Pan PP, Deng ZM.   +4 more
europepmc   +1 more source

Extended Target Echo Detection Based on KLD and Wigner Matrices. [PDF]

Sensors (Basel), 2019
Xie D, Wang F, Chen J.
europepmc   +1 more source

Deep Learning on Multi Sensor Data for Counter UAV Applications-A Systematic Review. [PDF]

Sensors (Basel), 2019
Samaras S, Diamantidou E, Ataloglou D, Sakellariou N, Vafeiadis A, Magoulianitis V, Lalas A, Dimou A, Zarpalas D, Votis K, Daras P, Tzovaras D.   +11 more
europepmc   +1 more source

Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders. [PDF]

Sensors (Basel), 2018
Gallego AJ, Gil P, Pertusa A, Fisher RB.
europepmc   +1 more source

Dynamic compressed HRRP generation for random stepped-frequency radar based on complex-valued fast sequential homotopy. [PDF]

Sensors (Basel), 2014
You P, Liu Z, Wang H, Wei X, Li X.
europepmc   +1 more source

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One-Shot HRRP Generation for Radar Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2022
Insufficient data of a noncooperative target seriously affect the performance of radar automatic target recognition (RATR) using the high-resolution range profile (HRRP), especially when the noncooperative target has only one sample. To this end, we propose an unsupervised data generation method to generate noncooperative HRRP signals.
Liangchao Shi, Yi Wen, Yihong Zhuang
exaly   +2 more sources

Radar HRRP target recognition with deep networks

Pattern Recognition, 2017
Abstract Feature extraction is the key technique for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP). Traditional feature extraction algorithms usually utilize shallow architectures, which result in the limited capability to characterize HRRP data and restrict the generalization performance for RATR.
Bo Chen, Hongwei Liu
exaly   +2 more sources

Radar HRRP statistical recognition based on hypersphere model

Signal Processing, 2008
The theoretical analysis and experimental results in this paper show that the independence assumption regarding elements in a radar high-resolution range profile (HRRP) sample, under which some statistical recognition methods were proposed, is not true.
Lan Du, Hongwei Liu
exaly   +2 more sources