Results 31 to 40 of about 1,336 (197)

Waveform Recognition in Pulse Compression Radar Systems [PDF]

open access: yes2005 IEEE Workshop on Machine Learning for Signal Processing, 2006
In this paper a system for recognizing pulse compression radar waveforms is introduced. The waveforms considered in this study are the linear frequency modulation (LFM), Costas codes, binary phase codes, and the Frank, P1, P2, P3, and P4 codes. A feature vector based on instantaneous signal properties, second- and higher-order statistics, and time ...
J. Lunden, L. Terho, V. Koivunen
openaire   +1 more source

Biomimetic echolocation with application to radar and sonar sensing [PDF]

open access: yes, 2014
Nature provides a number of examples where acoustic echolocation is the primary sensing modality, the most well-known of these being the bat, whale and dolphin. All demonstrate a remarkable ability to "see with sound".
Griffiths, Hugh   +7 more
core   +1 more source

Radar waveform recognition based on a two‐stream convolutional network and software defined radio

open access: yesIET Radar, Sonar & Navigation, 2022
As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
doaj   +1 more source

An Advanced Phase Synchronization Scheme Based on Coherent Integration and Waveform Diversity for Bistatic SAR

open access: yesRemote Sensing, 2021
In the bistatic synthetic aperture radar (BiSAR) system, the deviation between two oscillators in different platforms will cause an additional modulation of BiSAR echoes.
Da Liang   +4 more
doaj   +1 more source

Case study on low probability of recognition (LPR) radar using GSM

open access: yes, 2022
S.1058-1063A practical investigation of the application of low probability of recognition (LPR) to Global System for Mobile Communications (GSM) systems within radar waveform design is provided.
Felber, Wolfgang   +4 more
core   +1 more source

Online Learning-Based Waveform Selection for Improved Vehicle Recognition in Automotive Radar

open access: yesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
This paper describes important considerations and challenges associated with online reinforcement-learning based waveform selection for target identification in frequency modulated continuous wave (FMCW) automotive radar systems. We present a novel learning approach based on satisficing Thompson sampling, which quickly identifies a waveform expected to
Charles E. Thornton   +2 more
openaire   +2 more sources

Target Identification with Improved 2D-VMD for Carrier-Free UWB Radar

open access: yesSensors, 2021
In recent years, the interest in radar automatic target recognition (RATR) based on the carrier-free ultra-wideband (UWB) radar has been increasing.
Yuying Zhu   +3 more
doaj   +1 more source

Radar Waveform Design for Extended Target Recognition under Detection Constraints [PDF]

open access: yesMathematical Problems in Engineering, 2012
We address the problem of radar phase‐coded waveform design for extended target recognition in the presence of colored Gaussian disturbance. Phase‐coded waveforms are selected since they can fully exploit the transmit power with sufficient variability.
Meng, Huadong   +4 more
openaire   +1 more source

Estimating the Instantaneous Frequency of Linear and Nonlinear Frequency Modulated Radar Signals—A Comparative Study

open access: yesSensors, 2021
Automatic modulation recognition plays a vital role in electronic warfare. Modern electronic intelligence and electronic support measures systems are able to automatically distinguish the modulation type of an intercepted radar signal by means of real ...
Hubert Milczarek   +3 more
doaj   +1 more source

LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt

open access: yesIEEE Access, 2023
For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at low Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks
Xudong Wang   +5 more
doaj   +1 more source

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