Title :
A joint frequency and DOA estimation algorithm with diagonal load
Author :
Weber, Raymond J. ; Huang, Yikun
Author_Institution :
Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
Abstract :
We have developed a novel method for joint frequency and 2D angle estimation of incoming signals upon a circular array over a very wide frequency band (2-18 GHz)[1]. This paper presents the algorithm with diagonal load for robust performance with improved accuracy and resolution. A temporal domain ESPRIT frequency estimation algorithm was extended for azimuth and elevation angles estimation. These direction estimation results are automatically paired with frequency. The algorithm provides non-ambiguous, high resolution and accuracy in both frequency and direction of arrival estimation over the frequency range. The DOA estimation resolution was analyzed for two signals with different frequency. The estimation accuracy vs. signal to noise ratio (SNR) and array was studied. The frequency estimation accuracy was compared with the standard FFT method. The DOA estimation accuracy and resolution were compared with the original MUltiple SIgnal Classification (MUSIC)[2] DOA estimation results. The proposed technique can be used for wireless communication applications and wireless sensor networks and it can also be used for RF emitter detection and tracking. The system is consistent with the Air Force´s layered sensing architecture concept.12
Keywords :
direction-of-arrival estimation; fast Fourier transforms; frequency estimation; research initiatives; wireless sensor networks; 2D angle estimation; DOA estimation algorithm; FFT method; MUSIC; RF emitter detection; SNR; air force layered sensing architecture concept; diagonal load; elevation angles estimation; frequency 2 GHz to 18 GHz; joint frequency; multiple signal classification; signal-to-noise ratio; temporal domain ESPRIT frequency estimation algorithm; wireless communication applications; wireless sensor networks; Accuracy; Arrays; Direction of arrival estimation; Estimation; Frequency estimation; Joints; Signal to noise ratio;
Conference_Titel :
Aerospace Conference, 2012 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4577-0556-4
DOI :
10.1109/AERO.2012.6187086