Some signals, such as in radar systems, communication systems, and neural systems, are transmitted as periodic pulse trains. If more than one pulse train is transmitted over the same communication channel, a challenge is to separate them for source identification at the receiver. This is known as pulse train deinterleaving and is clearly a fundamental problem in the study of discrete-event syst...

This paper presents a new algorithm for the deinterleaving of radar signals, based on the direction of arrival (DOA), carrier frequency (RF), and time of arrival (TOA). The algorithm is applied to classic (constant), jitter, staggered, and dwell switch pulse repetition interval (PRI) signals. This algorithm consists of two stages. In the first stage, a Kohonen neural network clusters the receiv...

All known time of arrival (TOA) deinterleaving algorithms have great diiculty separating interleaved radar pulse trains when two or more of the trains are significantly jittered. Such scenarios tend to lead to overwhelming ambiguity and fragmentation diiculties when using traditional techniques. In this report we propose a modiied sequence search technique combined with a novel recursive neural...

Multi-function radars (MFRs) work with pulse groups, and pulses in different groups are weakly correlated, which greatly increases the difficulty for MFR deinterleaving, especially cases of significant data noises. At present, no relevant research results have been reported to address this problem. In article, a hierarchical deep learning model will be established describe sequential patterns t...

Traditional signal deinterleaving methods depend on preset parameters, use complicated steps and have limitations in handling complex electromagnetic environments where signals overlap the space, time frequency domains. This paper presents a novel approach using deep segmentation network for radar deinterleaving. The pulse descriptor word data is transformed into dot matrix image, which then pr...

Abstract Deinterleaving or radar pulse separation is a very important goal in terms of sources for identifying and implementing electronic warfare systems. In order to separate pulses, parameters measured by receivers such as support measures (ESM) signals intelligence (ELINT) are used separation. This paper presents multi-parameter improved method separating the sequence based on time arrival ...

This paper presents a simple but efficient algorithm for deinterleaving of periodical pulse sequences. Based upon time of arrival analysis, one or more pulse repetition intervals are determined from the sequential difference histogram just by detecting the maximum value in the histogram. The algorithm is compared to some typical signal sorting methods and implemented in C language program. It i...

The reverse link encoding steps of the IS95 cellular code-division multiple-access (CDMA) standard consist of convolutional encoding, block interleaving, and orthogonal Walsh function encoding. Deinterleaving individual symbol metrics obtained from the Walsh function matched filters followed by conventional Viterbi decoding produces suboptimal results, as unwanted intersymbol Walsh function cor...