Low-Complexity High-Accuracy 5G and LTE Multichannel Spectrum Analysis Aided by Unsupervised Machine Learning

In this paper we propose a new method of occupied spectrum analysis for channel detection in a shared spectrum environment. Our approach is based on iterative multi-stage multi-resolution scanning using configurable Sliding Discrete Fourier Transform (SDFT) aided by an Unsupervised Machine Learning ... View More