Pulse deinterleaving based on fusing PDWs and PRI extraction process for radar-assisted edge devices considering computational costs

Author:

Hasani Hamid,Khosravi Mohammad R.

Abstract

AbstractDeinterleaving or radar pulse separation is a very important goal in terms of radar sources for identifying and implementing electronic warfare systems. In order to separate radar pulses, parameters measured by electronic warfare receivers such as electronic warfare support measures (ESM) and electronic signals intelligence (ELINT) are used in pulse separation. This paper presents a multi-parameter improved method for separating the pulse sequence of radar signals based on time of arrival (TOA) processing with sorting the other pulse descriptor words (PDW) parameters. In the proposed method, after extracting all the pulse repetition intervals (PRIs) based on TOA, the parameters of the angle of arrival, pulse width and carrier frequency (RF) are being used in pulse sorting to separate the received interleaved pulse sequences. The sequential difference histogram (SDIF) algorithm or cumulative difference histogram (CDIF) algorithm is used to extract all pulse repetition intervals. Also, in order to separate the sequence of the received pulses from all surroundings emitters, in addition to matching the potential PRI among the TOAs of the pulses and the similarity measurement in the other parameters of the pulse sequence (pulse sorting) have been used. This proposed algorithm is implemented in the integrated and complete design for deinterleaving of the radar pulses. The proposed method by considering low-cost computing sources considers a fast and low-complexity solution that can be used for edge-enabled distributed processors in aerial radar platforms as edge devices for military/combat unmanned aerial vehicles or networked missiles. The simulation results show that our method is completely effective.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Reference38 articles.

1. C.L. Davies, P. Hollands, Automatic processing for ESM, in IEE Proceedings, vol. 129, Pt. F, no. 3 (1982), pp. 164–171

2. R.G. Wiley, ELINT: The Analysis of Radar Signals, 1st edn. (Artech House Radar Library, 2006).

3. N.J. Whittall, Signal sorting in ESM systems. IEE Proc. Part F 132(4), 226–228 (1985)

4. H.K. Mardia, New techniques for the deinterleaving of repetitive sequences, in IEEE Proceedings, vol. 136, Pt. F, no. 4 (1989)

5. D.J. Milojevic, B.M. Popovic, Improved algorithm for the deinterleaving of radar pulses, in IEEE Proceedings, vol. 139, Pt. F, no. 1 (1992), pp. 98–104

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