Title :
Effect of spatial smoothing on state space methods/ESPRIT
Author :
Rao, Bhaskar ; Hari, K.V.S.
Author_Institution :
California Univ., San Diego, CA, USA
Abstract :
Results concerning the effect of using a spatially smoothed forward-backward covariance matrix on the performance of state space methods/ESPRIT for the direction of arrival (DOA) estimation using a uniformly spaced linear sensor array (ULA) are presented. Compact expressions for the asymptotic mean squared error in the estimates of the signal zeros and the DOA estimates are derived. Some general properties of the estimates are derived which lend insight into the effect of spatial smoothing and the forward-backward approach on state space methods/ESPRIT. An optimally weighted state space method/ESPRIT algorithm is also presented. The results indicate that by properly choosing the number of subarrays used for spatial smoothing, the performance of the method can be greatly enhanced.<>
Keywords :
matrix algebra; parameter estimation; signal processing; state-space methods; statistical analysis; DOA estimation; asymptotic mean squared error; direction of arrival; forward-backward covariance matrix; optimal weighting; performance; spatial smoothing; state space methods/ESPRIT; statistics; uniformly spaced linear sensor array; weighting matrix; Analysis of variance; Covariance matrix; Data models; Direction of arrival estimation; Marine vehicles; Multiple signal classification; Sensor arrays; Smoothing methods; State estimation; State-space methods;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205523
