
Performance Analysis of ESPRIT Algorithm for Smart Antenna System
Author(s) -
Chetan Rajan Dongarsane,
A.N. Jadhav,
Swapnil M. Hirikude
Publication year - 2012
Publication title -
international journal of communication networks and security
Language(s) - English
Resource type - Journals
ISSN - 2231-1882
DOI - 10.47893/ijcns.2012.1032
Subject(s) - rotational invariance , algorithm , computation , direction of arrival , antenna array , sensor array , estimation theory , signal (programming language) , computer science , invariant (physics) , multiple signal classification , signal processing , antenna (radio) , direction finding , computational complexity theory , smart antenna , mathematics , telecommunications , directional antenna , radar , machine learning , mathematical physics , programming language
ESPRIT is a high-resolution signal parameter estimation technique based on the translational invariance structure of a sensor array. The ESPRIT algorithm is an attractive solution to many parameter estimation problems due to its low computational cost. The performance of DOA using estimation signal parameter via a rotational invariant technique is investigated in this paper. By exploiting invariance’s designed into the sensor array, parameter estimates are obtained directly, without knowledge of the array response and without computation or search of some spectral measure. The exact number of samples and elements used is the most important parameter in the algorithms in order to sustain the accuracy of the direction of arrival of the incident signals. This algorithm is more robust with respect to array imperfections than MUSIC.