Back close

Detection of Interference in C-Band Signals using K-Means Clustering

Publication Type : Conference Proceedings

Publisher : ICCSP

Source : 2020 International Conference on Communication and Signal Processing (ICCSP) (2020)

Url :

Keywords : Antenna, antenna radiation patterns, Bars, data driven approach, Delays, Estimation, Interference, Interference suppression, K-means clustering, model driven methods, Multipath, pattern clustering, power, Radiation pattern, radiofrequency interference, real-time communication systems, Receiving antennas, RF data acquisition, signal acquisition, Signal detection, signal disrupting phenomena, Signatures, Threshold

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Year : 2020

Abstract : Interference is a main disruptive phenomenon which degrades the performance of communication systems and in general the quality of signal acquisition. Real-time communication through a channel is never free from signal disrupting phenomena like interference, distortion and noise. Hence it is essential to study their effects and methods of identifying them. Conventional methods to identify, estimate and mitigate interference are model driven. A data driven approach is far more efficient and adaptable than model driven methods. In this paper, we exemplify the use of a data driven approach to identify signatures of interference based on analysis of the acquired RF data.

Cite this Research Publication : S. S. Natarajan, R. Varun, A., Shivasubramanian, G., Thamayandran, D., Dharani, M., Gandhiraj, R., Sundaram, G. A. Shanmug, Kumar, A. K. Pradeep, Binoy, N. B., Dr. T. Rajagopalan, and Ram, D. S. Harish, “Detection of Interference in C-Band Signals using K-Means Clustering”, 2020 International Conference on Communication and Signal Processing (ICCSP). 2020.

Admissions Apply Now