The authors propose a discrete wavelet transform-based unsupervised underdetermined blind source separation methodology for radar pulse deinterleaving using a novel parameter, i.e. the radar antenna scan pattern. Deinterleaving becomes a challenging task in case of dense pulse scenario with parameter agile radars and the authors show that the scan pattern is an excellent parameter for this task. The results also indicate that the methodology is very suitable in case of jittered and staggered pulse repetition interval with reduced missing pulses and false alarm rate. Based on deinterleaved scan pattern information, a preliminary assessment of the number of emitters and their threat levels can be done
Abstract Signals of radars with fixed, stagger and other conventional pulse repetition intervals (PR...
Low power and compact radars have emerged with the development of electronic technology. This has en...
This thesis provides an evaluation of the Redundant Discrete Wavelet Transform with application to t...
International audienceIn this paper, a two-step methodology is developed to deinterlace RADAR signal...
In a high-density maritime environment, therecovery of radar pulse sequences presents a challenge to...
This paper considers the underdetermined blind separation of multiple input multiple output (MIMO) r...
International audienceNew radar technologies present new challenges to Racons. Racons need to be mor...
Modern day electronic warfare often contains a heterogeneous mix of dis-tributed sensors. This mix o...
With the progress of signal processing technology and the emergence of new system radars, the space ...
O Deinterleaving de seqüências de pulsos de sinais radar é uma tarefa essencial para a identificação...
Abstract Radar signal deinterleaving is used to separate interleaved pulse streams in the electronic...
Studying radar pulses and looking for certain patterns is critical in order to assess the threat lev...
The questions of detection of radar-tracking signals are discussed, which parameters are unknown. Th...
This paper presents an efficient method to identify the received target pulse in the presence of the...
This research project / thesis proposes the best wavelet for Denoising under low Signal to Noise Rat...
Abstract Signals of radars with fixed, stagger and other conventional pulse repetition intervals (PR...
Low power and compact radars have emerged with the development of electronic technology. This has en...
This thesis provides an evaluation of the Redundant Discrete Wavelet Transform with application to t...
International audienceIn this paper, a two-step methodology is developed to deinterlace RADAR signal...
In a high-density maritime environment, therecovery of radar pulse sequences presents a challenge to...
This paper considers the underdetermined blind separation of multiple input multiple output (MIMO) r...
International audienceNew radar technologies present new challenges to Racons. Racons need to be mor...
Modern day electronic warfare often contains a heterogeneous mix of dis-tributed sensors. This mix o...
With the progress of signal processing technology and the emergence of new system radars, the space ...
O Deinterleaving de seqüências de pulsos de sinais radar é uma tarefa essencial para a identificação...
Abstract Radar signal deinterleaving is used to separate interleaved pulse streams in the electronic...
Studying radar pulses and looking for certain patterns is critical in order to assess the threat lev...
The questions of detection of radar-tracking signals are discussed, which parameters are unknown. Th...
This paper presents an efficient method to identify the received target pulse in the presence of the...
This research project / thesis proposes the best wavelet for Denoising under low Signal to Noise Rat...
Abstract Signals of radars with fixed, stagger and other conventional pulse repetition intervals (PR...
Low power and compact radars have emerged with the development of electronic technology. This has en...
This thesis provides an evaluation of the Redundant Discrete Wavelet Transform with application to t...