Title :
Cyclostationarity-exploiting direction finding algorithms
Author :
Charge, P. ; Wang, Yannan ; Saillard, J.
Author_Institution :
Ecole Polytechnique, Nantes Univ., France
fDate :
7/1/2003 12:00:00 AM
Abstract :
Many modulated communication signals exhibit a cyclostationarity (or periodic correlation) property, corresponding to the underlying periodicity arising from carrier frequencies or baud rates. By exploiting cyclostationarity, the signal direction of arrival (DOA) estimation can be significantly improved. We propose two new direction finding beamformer algorithms that exploit cyclostationarity. These algorithms show very attractive estimation performance over conventional beamforming methods, as depicted by simulation results.
Keywords :
array signal processing; direction-of-arrival estimation; beamforming method; cyclostationarity property; direction finding algorithm; direction of arrival estimation; modulated communication signal; periodic correlation; Antenna arrays; Array signal processing; Biosensors; Covariance matrix; Direction of arrival estimation; Frequency; Narrowband; Sensor arrays; Signal processing; Signal processing algorithms;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2003.1238755