Adaptive pulse edge detection algorithm based on short-time Fourier transforms and difference of box filter

Liu, Xinqun; Fan, Xiaolei; Su, Shaoying

doi:10.1117/1.jrs.13.024502

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…The subjective simulation results (vector map of EOG, map of WPSD, and time-frequency diagram 63 ) obtained by each noise reduction algorithm are shown in Fig. 5.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Wang

Weng

et al. 2023

J. Appl. Rem. Sens.

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.Impulse radio ultrawide band (IR-UWB) radar possesses several advantages, such as heat flow insensitivity, high resolution, great penetration, good mobility, and lightweight, making it a promising technology for detecting and rescuing individuals trapped in fire scenarios. However, reliable detection and extraction of vital signs of trapped people in the presence of complex fire environment, such as water droplets, smoke, wall occlusions, and reflections, require an optimal background clutter suppression scheme designed specifically for fire scenarios. This study comprehensively evaluates 20 background noise suppression schemes using an exhaustive approach that involves constructing radar echo simulation signals and designing an evaluation method for algorithms. The practical applicability of the improved design solutions was evaluated by conducting small-scale fire experiments in an acrylic chamber. The results indicate that the designed scheme is effective in overcoming the background interference from the combustion environment and is capable of supporting subsequent trajectory identification and vital sign extraction in the fire scene environment.

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“…The subjective simulation results (vector map of EOG, map of WPSD, and time-frequency diagram 63 ) obtained by each noise reduction algorithm are shown in Fig. 5.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Wang

Weng

et al. 2023

J. Appl. Rem. Sens.

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“…Li Cheng [2] utilizes the Difference of Boxes (DOB) filter for pulse edge detection, and its detection performance surpasses that of an energy detection method [3]. On the basis of Li Cheng [2], Xinqun Liu [6] utilizes the fine-tuned Short-Time Fourier Transform (STFT) to refine the rough pulse edge, and then the Constant False Alarm Rate (CFAR) method is used to implement adaptive threshold detection in the frequency domain, which is better than the DOB pulse detection algorithm [2] and the traditional energy detection method [3]. Wenmao Luo [7] utilizes the disparity in state variables between two generalized time-scale transformed Duffing oscillators to detect pulses, thereby addressing the issue of weak pulse signal detection.…”

Section: Introductionmentioning

confidence: 99%

“…Wenmao Luo [7] utilizes the disparity in state variables between two generalized time-scale transformed Duffing oscillators to detect pulses, thereby addressing the issue of weak pulse signal detection. Existing radar pulse detection algorithms [2][3][4][5][6][7] focus on detecting individual pulses, but prior to this paper, no one has studied the detection of split radar pulses.…”

Section: Introductionmentioning

confidence: 99%

Radar Reconnaissance Pulse-Splitting Modeling and Detection Method

Guo,

Dong,

Zhang

et al. 2024

Remote Sensing

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When radar receivers adopt digital channelization, it is prone to generating a cross-channel split signal, the rabbit ear effect, and a transition band repeated signal, leading to errors in radar signal sorting or identification. The pulse-splitting model and detection method proposed in this paper can model split pulses and identify them in radar pulse streams, facilitating the merging of split pulses to enhance sorting and identification performance. Firstly, the mechanism of splitting pulse generation is deeply analyzed, and the splitting site theory is proposed. Then, the split pulse signal model and the split pulse number statistical model based on geometric distribution are constructed, which are used to guide the construction of simulation data of split pulse flow with different characteristics. Furthermore, a time-domain convergence degree (TCD) index is proposed to characterize the pulse split phenomenon. At the same time, in order to avoid a large number of threshold searching problems in pulse-splitting detection, an empirical formula for the pulse-splitting detection threshold based on the TCD is given to quickly determine whether there is a pulse train split problem. The selected measured radar pulse stream is verified to follow a geometric distribution at a significance level of 0.05. The proposed method achieved a detection accuracy of at least 99.55% on the simulation dataset and at least 95.68% on the experimental dataset, validating the rationality of pulse-splitting modeling and the effectiveness of the detection method.

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Adaptive radar pulse detection design based on difference of box filter

Su,

Liu,

Meng

2024

IET Radar Sonar & Navi

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Precise radar pulse detection is the premise of electronic support measures. A constant false alarm rate (CFAR) detection algorithm based on difference of box (DOB) filter is proposed to realise low‐complexity and environment‐adaptive radar pulse detection, and the principle behind the proposed algorithm is revealed. Specifically, the DOB filter is adopted to extract the rising edges and falling edges of radar pulses, and the signal variation law of probability density functions (PDFs) during the process of DOB filter are first theoretically analysed. Based on the derived PDFs, dynamic detection threshold and fixed threshold factor for the proposed CFAR algorithm based on DOB filter are deduced to detect the presence of radar pulses. Furthermore, the closed‐form expression of the detection probability is derived. Simulations and on‐board field programmable gate arrays implementation verify the superiority of the proposed CFAR algorithm based on DOB filter. Simulation results show that the proposed algorithm performs well in detecting various types of pulse signals, the detection probability ≥99% on condition that the signal‐to‐noise ratio ≥3 dB and false alarm probability = 10−8. Moreover, the proposed CFAR algorithm based on DOB filter can deal with both singular pulses and pulse on pulse signals.

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Adaptive pulse edge detection algorithm based on short-time Fourier transforms and difference of box filter

Cited by 6 publications

References 21 publications

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Radar Reconnaissance Pulse-Splitting Modeling and Detection Method

Adaptive radar pulse detection design based on difference of box filter

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