Results 31 to 40 of about 9,813 (270)

Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]

, 2014
The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Marcio Perassoli, Alessio Balleri, Woodbridge, K., Perassoli, M., Balleri, Alessio, Karl Woodbridge   +5 more
core   +1 more source

Cognitive Sparse Imaging Method for MIMO Radar under Wideband Interference

Remote Sensing, 2022
Target three-dimensional (3D) high-resolution imaging via multiple-input multiple-output (MIMO) radar may suffer from a heavy sampling burden and complicated radio frequency interferences.
Weike Feng, Pengcheng Wan, Xiaowei Hu, Yiduo Guo, Hangui Zhu   +4 more
doaj   +1 more source

Waveform Selection Method of Cognitive Radar Target Tracking Based on Reinforcement Learning

Leida xuebao, 2023
Based on the obtained knowledge through ceaseless interaction with the environment and learning from the experience, cognitive radar continuously adjusts its waveform, parameters, and illumination strategies to achieve robust target tracking in complex ...
Peikun ZHU, Jing LIANG, Zihan LUO, Xiaofeng SHEN   +3 more
doaj   +1 more source

A Radar Architecture for Joint Dynamic Spectrum Access and Target-Matched Illumination [PDF]

, 2017
In this study, we address a simple cognitive architecture to design a radar waveform that fills the gaps in the radio-frequency spectrum and matches the target scattering properties.
Griffiths, Hugh, Griffiths, H, Palama, Riccardo, Watson, F, Francis Watson, Watson, Francis; id_orcid, Riccardo Palama, Palama, R, Hugh Griffiths   +8 more
core   +1 more source

An Overview of Waveform Optimization Methods for Cognitive Radar

Leida xuebao, 2019
Cognitive radar can sense the battlefield environment and feed this information back to a transmitter by imitating the cognitive learning process of bats to enable self-adaptive detection and processing, which are vital for the future intelligent ...
CUI Guolong, YU Xianxiang, YANG Jing, FU Yue, KONG Lingjiang   +4 more
doaj   +1 more source

Radar Phase-Coded Waveform Design with Local Low Range Sidelobes Based on Particle Swarm-Assisted Projection Optimization

Remote Sensing, 2022
In modern electronic warfare, cognitive radar with knowledge-aided waveforms would show significant flexibility in anti-interference. In this paper, a novel method, named particle swarm-assisted projection optimization (PSAP), is introduced to design ...
Xiang Feng, Zhanfeng Zhao, Fengcong Li, Wenqing Cui, Yinan Zhao   +4 more
doaj   +1 more source

Radar tracking and motion-sensitive cameras on flowers reveal the development of pollinator multi-destination routes over large spatial scales [PDF]

, 2012
Central place foragers, such as pollinating bees, typically develop circuits (traplines) to visit multiple foraging sites in a manner that minimizes overall travel distance.
Chittka, Lars, Reynolds, Andrew M., Chittka, L, Ka S Lim, Ralph J. Stelzer, Lihoreau, M, Ralph J Stelzer, Andrew M. Reynolds, Ka S. Lim, Stelzer Ralph J., Osborne Juliet L., Ka S. Lim (137973), Alan D. Smith, Mathieu Lihoreau, Raine Nigel E., Juliet L Osborne, Chittka Lars, Nigel E. Raine¤b, Ralph J. Stelzer (137971), Osborne, Juliet L., Osborne, JL, Nigel E Raine, Reynolds, Andrew M, Mathieu Lihoreau (137965), Chittka, L., Stelzer, RJ, Lihoreau, M., Lihoreau Mathieu, Stelzer, Ralph J., Lars Chittka (27016), Raine, N. E., Smith, Allan, Reynolds Andrew M., Lim, Ka, Andrew M Reynolds, Raine, Nigel E., Smith, AD, Reynolds, A. M., Juliet L. Osborne¤c, Smith, A. D., Andrew M. Reynolds (137969), Lim, KS, Raine, Nigel, Raine, NE, Stelzer, Ralph, Alan D Smith, Smith, Alan D., Reynolds, AM, Lars Chittka, Lim Ka S., Lihoreau, Mathieu, Nigel E. Raine (75421), Stelzer, R. J., Osborne, J. L., Juliet L. Osborne (107697), Alan D. Smith (137975), Lim, K. S., Lim, Ka S., Smith Alan D.   +58 more
core   +1 more source

Nature-inspired waveform optimisation for range spread target detection in cognitive radar

The Journal of Engineering, 2019
The waveform optimisation problem in cognitive radar is non-convex and will have sub-optimal solutions when solved by the semi-definite relaxation (SDR) technique. Here, a novel nature-inspired waveform optimisation framework is proposed for range-spread
Qing Wang, Meng Li, Lirong Gao, Kaiming Li, Hua Chen   +4 more
doaj   +1 more source

Electronically steered cognitive weather radar - a technology perspective

, 2022
S.0563-0566Long-range mechanically rotating weather radar systems currently in use suffer from inherent performance limitations including coarse resolution, long update time and beam blockage.
Brüggenwirth, S., Danklmayer, A., Knott, P., Bertuch, T., Turso, S.   +4 more
core   +1 more source

Channel parameters estimation for cognitive radar systems [PDF]

, 2014
This paper deals with the problem of a cognitive radar system that shares the same frequency band with a communication system, supposed to be the primary user of channel.
STINCO, PIETRO, Pietro Stinco, Himed, Braham, Maria Greco, GRECO, MARIA, Fulvio Gini, GINI, FULVIO, Braham Himed   +7 more
core   +1 more source