Joint deinterleaving/recognition of radar pulses

Hassan, Hossam E. Abou-Bakr

doi:10.1109/radar.2003.1278735

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…The pulse repetition rate can be either constant, staggered, or jittered. [29][30][31] If more than one emitter is present, an electronic warfare (EW) receiver must sort the received pulses based on the signal parameters including the carrier frequency (f c ), pulse width (PW), pulse repetition frequency (PRF), pulse amplitude, and DOA 29 to identify the individual emitters. In EW receivers, time-of-arrival (TOA) measurement is usually the most accurate parameter available.…”

Section: Practical Considerationsmentioning

confidence: 99%

Wideband direction finding using a photonic robust symmetrical number system technique

et al. 2014

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Abstract. Dual electrode Mach-Zehnder modulators (DE-MZMs) are used to conduct phase detection for direct wideband direction finding (DF) of microwave signals. It is demonstrated theoretically and through simulation and experimentation that the normalized magnitude of the output signal phase detector circuit is equal to j sinðψ∕2Þj, where ψ is the phase difference between the plane waves arriving at the reference and measurement antennas of a linear DF array. A four-element wideband photonic DF system with robust symmetrical number system preprocessing is presented. Simulation and experimental testing results are provided to demonstrate the theoretical concept. The results demonstrate a direct DF receiver using DE-MZMs that achieves fine angular resolution using a much smaller array size than is typically required for linear arrays employing super-resolution signal processing techniques.

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Section: Practical Considerationsmentioning

confidence: 99%

Wideband direction finding using a photonic robust symmetrical number system technique

et al. 2014

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“…Radar pulse deinterleaving algorithms can be broadly classified into two main categories: interval‐only and multi‐parametric [7, 8]. Interval‐only algorithms use the TOA information of different pulses to derive techniques based on histogramming [9, 10], statistic association [11] or extended Kalman filter [12–14] which can determine the PRI of the radars.…”

Section: Introductionmentioning

confidence: 99%

“…Clustering technique is employed in [6] to sort the mixed signal based on one or more parameters into different bins. The number of emitters can be identified on the basis of a threshold or through joint recognition and identification [7, 22]. Another class of techniques use a number of self‐organising neural network algorithms, such as fuzzy adaptive resonance theory, fuzzy clustering and Min–Max clustering [8], to compare if the pulses are from the same emitter using parameters other than TOA such as RF and DOA.…”

Section: Introductionmentioning

confidence: 99%

Discrete wavelet transform based unsupervised underdetermined blind source separation methodology for radar pulse deinterleaving using antenna scan pattern

Dutt

Baloria

Prasad

et al. 2019

IET Radar, Sonar & Navigation

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“…In the known radar signal processing, the use of correlation between the priori knowledge and radar the received signal [2], sorting accuracy and real-time have reached a certain height. But the problem sorting unknown signal from the density radar pulse streams which contains a lot of interfering pulse has been restricting the radar surveillance data processing.…”

Section: Introductionmentioning

confidence: 99%

A New Method of Unknown Radar Signals Sorting

Zhang

Tian

2013

Lecture Notes in Electrical Engineering

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Aimed at the problem of worse real-time in the sorting of unknown radar signals, a new signal sorting method based on the DBSCAN is put forward. Using the parameter distribution characteristics of radar pulse data, the method firstly searches a number of reference points to properly represent original data points, and then, make use of their density connected character to cluster the reference points. Because of the decrease of the data involved in clustering, the method overcomes the immense calculated quantities of original algorithm, and enhances the clustering speed of unknown radar signal sorting. Computer simulation results show that the proposed algorithm can effectively sort the unknown radar signals.

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Joint deinterleaving/recognition of radar pulses

Cited by 8 publications

References 5 publications

Wideband direction finding using a photonic robust symmetrical number system technique

Wideband direction finding using a photonic robust symmetrical number system technique

Discrete wavelet transform based unsupervised underdetermined blind source separation methodology for radar pulse deinterleaving using antenna scan pattern

A New Method of Unknown Radar Signals Sorting

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