A Novel Radar Signals Sorting Method-Based Trajectory Features

Guo, Qiang; Li, Teng; Qi, Liangang; Ji, Xiaowei; Xiang, Jianhong

doi:10.1109/access.2019.2955819

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…With the continuous emergence of new radar system, the reconnaissance signal presents the characteristics of complex waveform parameter modulation and serious overlapping of waveform parameters among multiple emitters. The performance of presorting algorithm based on waveform parameters decreases seriously [6], and it is difficult to achieve effective sorting of radar radiation source signals. However, although the pulse sequences are interleaved under the condition of interleaved multiple radar emitters, the correlation between the pulse signals of the same radiation source is not broken.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Sorting Staggered PRI Signals Based on the Congruence Transform

Dong

Wang

2023

Electronics

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To address the problems of poor adaptability to pulse loss, susceptibility to interfered pulses, and the need of sub-PRI (Pulse Repetition Interval) ranking in the existing signal sorting algorithms, this paper proposes an algorithm for sorting staggered PRI signals based on the congruence transform. According to the analysis of the congruence characteristics of the staggered PRI signal, the proposed algorithm transforms the arrival time of the pulse to a fixed value, based on which the staggered PRI signal sorting and the sub-PRI sequence extraction can be achieved. Simulation results show that the proposed algorithm can effectively sort the staggered PRI signals and obtain the sub-PRI sequence directly without sub-PRI ranking, and, compared to some typical algorithms, it is less affected by the interfered pulses and the pulse loss.

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Section: Introductionmentioning

confidence: 99%

An Algorithm for Sorting Staggered PRI Signals Based on the Congruence Transform

Dong

Wang

2023

Electronics

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“…forms a PRI spectrum with a peak at the true PRI value. Then, the discrete formulation of the PRI transform is obtained by substituting into (19).…”

Section: Separation Of Tracking Pulses and Search Pulsesmentioning

confidence: 99%

Deinterleaving of Radar Pulse Based on Implicit Feature

Qiang

Wu³

et al. 2023

J. of Syst. Eng. Electron.

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In the complex countermeasure environment, the pulse description words (PDWs) of the same type of multi-function radar emitters are similar in multiple dimensions. Therefore, it is difficult for conventional methods to deinterleave such emitters. In order to solve this problem, a pulse deinterleaving method based on implicit features is proposed in this paper. The proposed method introduces long short-term memory (LSTM) neural networks and statistical analysis to mine new features from similar PDW features, that is, the variation law (implicit features) of pulse sequences of different radiation sources over time. The multi-function radar emitter is deinterleaved based on the pulse sequence variation law. Statistical results show that the proposed method not only achieves satisfactory performance, but also has good robustness.

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“…This is essential for extracting features and identifying radar emitter signals [1][2][3][4][5]. Generally, there are two types of radar signal sorting methods [6,7]: one involves pre-sorting algorithms based on parameter correlation, and the other focuses on PRI sorting methods based on the correlation of Time Of Arrival (TOA) between pulses. The process of de-interleaving pulse sequences based on TOA and identifying modulation types based on PRI can be used to sort multiple interleaved radar emitter signals by utilizing the relevance from the same emitter.…”

Section: Introductionmentioning

confidence: 99%

An Improved Sorting Algorithm for Periodic PRI Signals Based on Congruence Transform

Dong,

Ge,

Zhou

et al. 2024

Symmetry

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Recently, a signal sorting algorithm based on the congruence transform has been proposed, which is effective in dealing with the staggered Pulse Repetition Interval (PRI) signals. It can effectively sort the staggered PRI signals and obtain the sub-PRI sequence directly without sub-PRI ranking, and it is less affected by interfered pulses and pulse loss. Nevertheless, we find that the algorithm causes pseudo-peaks in the remainder histogram when sorting signals such as sliding PRI, sinusoidal PRI, etc. (collectively referred to as periodic PRI signal in this paper) and pseudo-peaks will cause errors in signal sorting. To solve the issue of pseudo-peaks when sorting periodic PRI signals, an improved sorting algorithm based on congruence transform is proposed. According to the analysis of the congruence characteristics of the periodic PRI signal, a novel method is proposed to identify pseudo-peaks based on the histogram peak amplitude and symmetric difference set. The signal sorting algorithm based on congruence transform is improved to achieve a good sorting effect on periodic PRI signals. Simulation experiments demonstrate that the novel algorithm can effectively sort periodic PRI signals and improve Precall, Pd, and Pf by 6.9%, 5.1%, and 3.2%, respectively, compared to the typical similar algorithms.

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A Novel Radar Signals Sorting Method-Based Trajectory Features

Cited by 10 publications

References 17 publications

An Algorithm for Sorting Staggered PRI Signals Based on the Congruence Transform

An Algorithm for Sorting Staggered PRI Signals Based on the Congruence Transform

Deinterleaving of Radar Pulse Based on Implicit Feature

An Improved Sorting Algorithm for Periodic PRI Signals Based on Congruence Transform

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