
Instantaneous Frequency and AOA Estimation of Multicomponent Signals based on Born-Jordan Distribution
Author(s) -
Quan Gan,
Jie Tang,
Song Huan Huan,
Hao Wen
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2022.120710
Subject(s) - instantaneous phase , time–frequency analysis , signal (programming language) , computer science , noise (video) , signal processing , component (thermodynamics) , direction of arrival , acoustics , algorithm , electronic engineering , antenna (radio) , telecommunications , artificial intelligence , engineering , physics , radar , image (mathematics) , thermodynamics , programming language
Based on the spatial sample of the multi-component signals by the array antenna, using BornJordan distribution which is a kind of typical Cohen type time-frequency distribution, the detection and estimation approach of the spatial multi-component signals' angle-of-arrival and instantaneous frequency is proposed by comparison of the instantaneous frequency of the signals at the same time from the point of digital signal processing. The simulation results show that the proposed method not only has high noise performance, but also enhances the real-time performance of the spatial signal detection.