Title :
Modified subspace smoothing technique for multipath direction finding
Author :
Mei Feng ; Kammeyer, Karl-Dirk
Author_Institution :
Dept. of Telecommun., Univ. of Bremen, Bremen, Germany
Abstract :
Recently a new subspace smoothing algorithm for estimation of directions of arrival (DOA) in coherent signal environment by using antenna arrays is presented. Unlike the existing forward and backward spatial smoothing algorithm, the new subspace smoothing algorithm is not restricted to uniformly linear arrays, and M - 1 DOA´s of direct path and multipath components can be estimated, where M is the number of the sensors. Unfortunately the steering vectors have to be estimated several times in that algorithm, which is computationally very intensiv. In order to reduce the computational cost but keep the advantages of the new idea, a modified version of the subspace smoothing algorithm will be presented in this paper. We will show that there is equivalence between the modified subspace smoothing algorithm and the well-known forward spatial smoothing algorithm. We will also show that the array aperture is extended virtually by using the modified sub-space smoothing algorithm. Finally, simulation results will demonstrate the features of our modified algorithm.
Keywords :
antenna arrays; antenna theory; array signal processing; computational complexity; direction-of-arrival estimation; radio direction-finding; smoothing methods; DOA; antenna arrays; backward spatial smoothing algorithm; coherent signal environment; computational cost; directions of arrival; forward spatial smoothing algorithm; modified subspace smoothing technique; multipath components; multipath direction finding; Covariance matrices; Direction-of-arrival estimation; Estimation error; Mobile communication; Sensor arrays; Smoothing methods;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4