A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification

Zhao, Shiqiang; Wang, Wenhai; Zeng, Deguo; Chen, Xinwei; Zhang, Zeyin; Xu, Fang; Mao, Xuanyu; Liu, Xinggao

doi:10.1109/tie.2021.3055155

Cited by 13 publications

(6 citation statements)

References 42 publications

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“…Sorting radar emitting signal is a continuous and difficult research point in the field of electronic warfare, which aims to separate different radar signals and lays the foundation for radar radiation source feature extraction and identification. Signal sorting usually contains pre-sorting based on radar waveform parameters and PRI (pulse repetition interval) sorting based on pulse sequence time of arrive (TOA) de-interleaving and PRI modulation pattern recognition [1][2][3][4][5]. 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.…”

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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“…Equation (5) shows that the TOA of all pulses has the same remainder. The remainder is related only to the TOA of the first pulse t k , and is independent of the pulse index number n, and this process is called congruent transform in [21].…”

Section: Analysis Of Periodic Pri Signal Based On Congruence Transformmentioning

confidence: 99%

“…The purpose of signal sorting is to distinguish different radar emitter signals. 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.…”

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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“…The Pulse Description Word [3] is a commonly used, early method that extracted pulse interval characteristics, which has found extensive application in low electromagnetic density environments and in traditional radar systems. However, in modern radar systems, with their complex and varied signal waveforms, effective classification of signals solely based on the interval features is not feasible.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with the hand-crafted methods, the DL-based methods improved the information completeness, efficiency, and noise-robust [3], therefore, it has state-of-the-art performance, intelligence and generalization. This is of great significance for improving the intelligence and stability of ESM.…”

Section: Introductionmentioning

confidence: 99%

Dilated CNN Design Approach for Extracting Multi-Scale Features in Radar Emitter Classification

Guo,

Wu,

Guo

et al. 2023

IEEE Access

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Radar emitter classification plays an increasingly significant role in the electronic reconnaissance system. Due to many convolutional neural network (CNN)-based approaches suffer from insufficient spatial receptive fields and inadequate feature representation, the classification accuracy is poor in low signal-to-noise ratio (SNR) conditions. Therefore, in this paper, we stress the importance of multiscale dilated convolutions for target feature extraction, and propose two novel CNN architecture design approaches called multi-scale dilated residual network (MDRN). By combining multi-scale dilated convolutions with residual architecture, MDRN not only has a larger receptive field, but also can learn more diverse features, thereby improving the ability to process time-frequency images (TFI) under highnoise energy conditions. Moreover, compared with the original residual model, MDRN does not increase any parameter complexity or floating-point operations per second (FLOPS). Experiments on the TFI classification task show that the proposed MDRN has superior performance over state-of-the-art CNN models.INDEX TERMS intra-pulse modulation classification; dilated convolution; feature maps; multi-scale feature fusion; time-frequency image

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A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification

Cited by 13 publications

References 42 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

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

Dilated CNN Design Approach for Extracting Multi-Scale Features in Radar Emitter Classification

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