Performance Evaluation of a Real-Time Seismic Detection System Based on CFAR Detectors

Ghosh, Ripul; Vajpeyi, Anirudh; Akula, Aparna; Shaw, Vikash; Kumar, Satish; Sardana, Harish Kumar

doi:10.1109/jsen.2019.2959652

Cited by 20 publications

(3 citation statements)

References 20 publications

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“…The tracks of the potential targets with different GMTR methods are given in Figure 11. For the sake of fairness, the EFA based STAP clutter suppression operation [12] and Cell Averaging CFAR (CA-CFAR) processing operation [1,2,61,62] are adopted with the same parameter in our experiments. Therefore, the input data for both target relocation methods are the same.…”

Section: Experimental Results IImentioning

confidence: 99%

Knowledge-Aided Ground Moving Target Relocation for Airborne Dual-Channel Wide-Area Radar by Exploiting the Antenna Pattern Information

Chen¹,

Wang

Gao³

et al. 2021

Remote Sensing

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This paper addresses the problem of ground moving target relocation (GMTR) for airborne dual-channel wide-area radar systems. The monopulse technique can be utilized to perform GMTR. However, in real conditions, the GMTR performance degrades greatly due to the effect of channel mismatch. To tackle this problem, prior knowledge of the antenna pattern information is fully utilized to improve the GMTR performance, and a knowledge-aided GMTR algorithm (KA-GMTR) for airborne dual-channel wide-area radar is proposed in this paper. First, the GMTR model for the two receiving channels is analyzed. The channel mismatch model is constructed, and its expression is derived. Then, the channel mismatch phase error is well estimated by exploiting the prior antenna pattern information based on the least squares (LS) method. Meanwhile, the knowledge-aided monopulse curve (KA-MPC) is derived to perform the direction of arrival (DOA) estimation for potential targets. Finally, KA-GMTR, based on the KA-MPC, is performed to estimate the azimuth offsets and relocate the geometry positions of the potential targets when channel mismatch occurs. Moreover, the target relocation performance is analyzed, and the intrinsic reason that degrades the target relocation accuracy is figured out. The performance assessment based on airborne real-data, also in comparison to the conventional GMTR method, has demonstrated that our proposed KA-GMTR algorithm offers preferable target relocation results under channel mismatch scenarios.

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Section: Experimental Results IImentioning

confidence: 99%

Knowledge-Aided Ground Moving Target Relocation for Airborne Dual-Channel Wide-Area Radar by Exploiting the Antenna Pattern Information

Chen¹,

Wang

Gao³

et al. 2021

Remote Sensing

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show abstract

“…Among the many methods of marine ship detection, CFAR is a relatively excellent and commonly used algorithm [34][35][36]. With the development of research, the CFAR algorithm is gradually combined with machine learning methods such as convolutional neural networks and support vector machines, which further optimize the detection results [37][38][39].…”

Section: Two-parameter Constant False Alarm Rate (Tp-cfar) Methodsmentioning

confidence: 99%

Explore the application of high-resolution nighttime light remote sensing images in nighttime marine ship detection: A case study of LJ1-01 data

et al. 2020

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Nighttime light remote sensing images show significant application potential in marine ship monitoring, but in areas where ships are densely distributed, the detection accuracy of the current methods is still limited. This article considered the LJ1-01 data as an example, compared with the National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) data, and explored the application of high-resolution nighttime light images in marine ship detection. The radiation values of the aforementioned two images were corrected to achieve consistency, and the interference light sources of the ship light were filtered. Then, when the threshold segmentation and two-parameter constant false alarm rate methods are combined, the ships’ location information was with obtained, and the reliability of the results was analyzed. The results show that the LJ1-01 data can not only record more potential ship light but also distinguish the ship light and background noise in the data. The detection accuracy of the LJ1-01 data in both ship detection methods is significantly higher than that of the NPP/VIIRS data. This study analyzes the characteristics, performance, and application potential of the high-resolution nighttime light data in the detection of marine vessels. The relevant results can provide a reference for the high-precision monitoring of nighttime marine ships.

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“…Since the battery power of the charge-maintained HEV comes from the fuel heat, the fuel thermal energy consumption of the engine and the electrical energy consumption of the battery pack (positive and negative) must be attributed to a unified energy consumption index in a certain way, that is, the vehicle engine thermal energy, etc. Effective energy consumption index [2]. The author adopts a method of introducing equivalent factor to equalize electric energy THERMAL SCIENCE: Year 2021, Vol.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of vehicle engine thermal energy system detection effect based on target detection algorithm

et al. 2021

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The paper takes the front-mounted parallel structure of the transmission as an example and uses the target detection algorithm to introduce a real-time equivalent energy consumption control strategy for the vehicle engine thermal energy system. Based on studying the relationship between fuel thermal energy and electrical energy consumed when the vehicle is driving in a cycle, we elaborated on the strategy?s critical issue, namely, the equivalent method of the electrical energy of the battery pack and the fuel thermal energy consumption of the engine. Finally, the thesis carries out a simulation test on this strategy based on the vehicle simulation model and compares it with other control strategies.

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Performance Evaluation of a Real-Time Seismic Detection System Based on CFAR Detectors

Cited by 20 publications

References 20 publications

Knowledge-Aided Ground Moving Target Relocation for Airborne Dual-Channel Wide-Area Radar by Exploiting the Antenna Pattern Information

Knowledge-Aided Ground Moving Target Relocation for Airborne Dual-Channel Wide-Area Radar by Exploiting the Antenna Pattern Information

Explore the application of high-resolution nighttime light remote sensing images in nighttime marine ship detection: A case study of LJ1-01 data

Evaluation of vehicle engine thermal energy system detection effect based on target detection algorithm

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