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

Dong, Huixu; Qi, Xinglong; Wang, Chunyu

doi:10.3390/electronics12132888

Cited by 4 publications

(21 citation statements)

References 16 publications

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“…When t n follows a sawtooth wave, sinusoidal or linear, the PRI modulation type of the pulse sequence could be slip, sinusoidal, or another modulation type [22], as shown in Figure 1. Similar to the staggered PRI signal model mentioned in Dong, H.'s work [21], the pulse trains with sliding PRI, sinusoidal PRI, and other PRI modulation (repeats with the frame period Tz) can be regarded as a superposition of the fixed PRI pulse sequence with a different start time, as shown in Figure 2. The periodic PRI signal model is expressed as…”

Section: Signal Model Of Periodic Primentioning

confidence: 99%

“…Similar to the staggered PRI signal model mentioned in Dong, H.'s work [21], the pulse trains with sliding PRI, sinusoidal PRI, and other PRI modulation (repeats with the frame period T z ) can be regarded as a superposition of the fixed PRI pulse sequence with a different start time, as shown in Figure 2. Similar to the staggered PRI signal model mentioned in Dong, H.'s work [21], the pulse trains with sliding PRI, sinusoidal PRI, and other PRI modulation (repeats with the frame period Tz) can be regarded as a superposition of the fixed PRI pulse sequence with a different start time, as shown in Figure 2. The periodic PRI signal model is expressed as…”

Section: Analysis Of Periodic Pri Signal Based On Congruence Transformmentioning

confidence: 99%

“…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%

“…We can conclude that the congruence transform produces a lot of pseudo-peaks based on the analysis in Section 2.2.2. Then, the periodic PRI signal is truncated into some sequences using the baseline algorithm in [21], which will cause errors in the signal sorting. Therefore, this paper proposes an improved sorting algorithm for periodic PRI signals based on congruence transform.…”

Section: Principle Of Periodic Pri Signal Sortingmentioning

confidence: 99%

“…It has the best robustness for missing pulse and PRI jitter, and can effectively de-interleave the received pulse train with PRI stagger and jittered PRI. Dong, H. proposed a PRI sorting algorithm based on congruence transform by utilizing the periodicity of PRI, which can sort fixed PRI and staggered PRI signals effectively [21]. It has good anti-pulse loss and anti-interference properties without sub-PRIs ranking, but cannot suppress the residual histogram pseudo-peaks when sorting periodic PRI signals.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Signal Model Of Periodic Primentioning

confidence: 99%

Section: Analysis Of Periodic Pri Signal Based On Congruence Transformmentioning

confidence: 99%

Section: Analysis Of Periodic Pri Signal Based On Congruence Transformmentioning

confidence: 99%

Section: Principle Of Periodic Pri Signal Sortingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Dong,

Ge,

Zhou

et al. 2024

Symmetry

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Object detection based deinterleaving of radar signals using deep learning for cognitive EW

Kocamış,

Orduyılmaz,

Taşcıoğlu

2024

SIViP

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In a real-world environment, multifunction radars (MFRs) pose major challenges to the electronic support system that is a part of cognitive electronic warfare. One of the main problems is deinterleaving of signals belonging to MFRs. The ability of MFRs to change their carrier frequency, pulse width, and pulse repetition interval (PRI) from pulse to pulse makes the deinterleaving task challenging. In this paper, an object detection based deinterleaving approach exploiting amplitude patterns caused by radar beam motions, which are determined based on radar antenna scan types, is proposed to deinterleave MFR signals. Amplitude patterns are created in two-dimensional images using amplitude (AMP) and time of arrival (TOA) parameters obtained from radar pulses. Deinterleaving is performed using a deep learning algorithm applied to these images. To the best of the authors’ knowledge, object detection based deinterleaving of radar signals using AMP-TOA images has not been considered so far. Contrary to the common approaches, in which searching for PRI patterns is required, amplitude patterns formed by the radar beam motions on the electronic support system are used in the proposed method. This enables robust identification of signals of MFRs having PRI, carrier frequency, and pulse width agility. With the proposed method, the intention of the radar, i.e., search or tracking, can be acquired in the deinterleaving stage, which ensures earlier situational awareness. The performance of the method is evaluated for varying number of radar signals from one to five through simulations, in which scenarios with missing pulses at different rates are considered. Simulation results demonstrate that, on the average, more than 0.98 mean average precision (mAP50) is achieved at 30% missing pulse rate. The performance of the method for search radar signals is slightly lower compared to that achieved for tracking radar signals due to the lower number of pulses received by the system. However, more than 0.93 AP50 is achieved for search radar signals in the presence of five radar signals with different missing pulse rates. Besides, real-time performance can be achieved using the proposed method on the GPU platform.

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Automatic reconstruction of radar pulse repetition pattern based on model learning

Luo,

Yuan,

Shang

et al. 2024

Digital Signal Processing

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

Cited by 4 publications

References 16 publications

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

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

Object detection based deinterleaving of radar signals using deep learning for cognitive EW

Automatic reconstruction of radar pulse repetition pattern based on model learning

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