In this paper, a third-order moment-based estimation of signal parameters via rotational invariance techniques\n(ESPRIT) algorithm is proposed for passive localization of near-field sources. By properly choosing sensor outputs of\nthe symmetric uniform linear array, two special third-order moment matrices are constructed, in which the steering\nmatrix is the function of electric angle ? , while the rotational factor is the function of electric angles ? and ?. With\nthe singular value decomposition (SVD) operation, all direction-of-arrivals (DOAs) are estimated from a polynomial\nrooting version. After substituting the DOA information into the steering matrix, the rotational factor is determined\nvia the total least squares (TLS) version, and the related range estimations are performed. Compared with the\nhigh-order ESPRIT method, the proposed algorithm requires a lower computational burden, and it avoids the\nparameter-match procedure. Computer simulations are carried out to demonstrate the performance of the\nproposed algorithm.
Loading....