Paper
4 May 2022 Application of weighted fuzzy C-means algorithm in high resolution range profile target detection
Yi-fan Liu, Yong-jie Zhang
Author Affiliations +
Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121721C (2022) https://doi.org/10.1117/12.2634472
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China
Abstract
High resolution range profile system is usually used in air-to-surface radar to obtain radial range distribution characteristics of multiple scattering centers. Because clutter exists in the scene, constant false alarm detection is needed for high resolution range image to obtain target range image. When the detection threshold is low, more false-alarm will be introduced into the detection results, which will affect the classical extended target detection effect. To solve this problem, a new method is proposed in this paper, which applies monopulse angle measurement and weighted fuzzy C-means algorithm with scattering point amplitude as weighting coefficient to constant false alarm detection algorithm with prior information of target quantity and volume. With the same detection threshold value, the location information and cluster center parameters are analyzed and judged simultaneously, which eliminate effectively false-alarm and obtain accurate target range image. This method has been verified by simulation results.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi-fan Liu and Yong-jie Zhang "Application of weighted fuzzy C-means algorithm in high resolution range profile target detection", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121721C (4 May 2022); https://doi.org/10.1117/12.2634472
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KEYWORDS
Target detection

Detection and tracking algorithms

Scattering

Radar

Signal detection

Fuzzy logic

Signal to noise ratio

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