The Presentation of an Algorithm for Interference Detection in the Synthetic Aperture Radar

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BAYAT M.; MORADI M.; MAZLOUM J.

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Journal Paper

Paper Information

Journal: JOURNAL OF RADAR Year:2021 | Volume:9 | Issue:1 Page(s): 107-117

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Information Journal Paper

Title

The Presentation of an Algorithm for Interference Detection in the Synthetic Aperture Radar

Author(s)

BAYAT M. | MORADI M. | MAZLOUM J. | Issue Writer Certificate

Keywords

Radar

Radio Frequency Interference

Synthetic Aperture Radar

Convolutional Neural Network

Abstract

The synthetic aperture Radar is an imaging Radar that has a high resolution. The synthetic aperture Radar image may be degraded by the interference of radio frequencies and an incomprehensible image may be created. Interferences in the synthetic aperture Radars are divided into the three categories of, , and, which represent radio frequency noise interference, narrow band interference and wideband interference, respectively. To effectively reduce the interference in synthetic aperture Radar images, first the presence of interference and its type should be asserted and then the interference reduction algorithms should be calculated according to interference type. In this paper an algorithm for the detection of interference and its type in the synthetic aperture Radar images is presented. Whilst in the previous articles the SSD method is used for interference detection, in this paper we have used the Faster RCNN method based on neural network convolutional which has a higher speed and accuracy than the SSD method. In this method, first a neural network is trained with the ability of multiple classification. Then the Faster RCNN is constructed with the neural network and and is trained by 25 time-frequency images from the artificial aperture Radar signal. The trained network is able to detect any interference in the Radar signal of a synthetic window with 99% accuracy. After detecting the interference by the proposed algorithm, the normalized least mean square filter is able to reduce the interference and improve the Radar image. This filter operates similarly in decreasing all three types of interference.

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APA: Copy

BAYAT, M., MORADI, M., & MAZLOUM, J.. (2021). The Presentation of an Algorithm for Interference Detection in the Synthetic Aperture Radar. JOURNAL OF RADAR, 9(1 ), 107-117. SID. https://sid.ir/paper/958655/en

Vancouver: Copy

BAYAT M., MORADI M., MAZLOUM J.. The Presentation of an Algorithm for Interference Detection in the Synthetic Aperture Radar. JOURNAL OF RADAR[Internet]. 2021;9(1 ):107-117. Available from: https://sid.ir/paper/958655/en

IEEE: Copy

M. BAYAT, M. MORADI, and J. MAZLOUM, “The Presentation of an Algorithm for Interference Detection in the Synthetic Aperture Radar,” JOURNAL OF RADAR, vol. 9, no. 1 , pp. 107–117, 2021, [Online]. Available: https://sid.ir/paper/958655/en

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