Self-detection Method for Hyperbolic Interference Striations of Radiated Noise Passing Characteristics

Radiated noise interference striations are intrinsic characteristic of target radiated noise, and their detection can provide a basis for target detection. This paper proposes a self-detection method for hyperbolic interference striations based on image processing. According to the characteristics o...

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Bibliographic Details
Main Authors: Sheng, Yujing, An, Liang, Jing, Keyi
Format: Conference Proceeding
Language:English
Subjects:
Channel models
Image processing
Interference
interference striations
Oceans
radiated noise
Reliability
self-testing
shallow sea channel
Shape
Signal processing algorithms
Signal to noise ratio
Target recognition
Transforms
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Summary:Radiated noise interference striations are intrinsic characteristic of target radiated noise, and their detection can provide a basis for target detection. This paper proposes a self-detection method for hyperbolic interference striations based on image processing. According to the characteristics of the ocean environment, a shallow sea channel model based on the ray-theory model is used for the multipath effect and interference structure in the shallow sea channel, and the physical mechanism of the target radiation noise interference striations showing a hyperbolic shape is analyzed. Aiming at the distribution characteristics of hyperbolic interference striations in the target radiated noise spectrum, an independent judgment algorithm of hyperbolic interference striations was proposed based on the image processing algorithm and Hough transform. The results show that the algorithm can reliably self-detect the existing hyperbola and has a good application prospect and research value.
ISSN:2770-792X
DOI:10.1109/ICICSP62589.2024.10809128