Abstract: The complicated computation has always been a serious problem in the parameter estimation of near-field sources. Based on the symmetrical array structure, a new computational efficient method for Range-of-Arrival (ROA) estimation of near-field sources is proposed. First, the polynomial is constructed through the symmetrical array structure, and the angle information of the near-field sources is obtained by solving the roots of the polynomial. Estimation of the range information is combined with the idea of compressed multiple signal classification (MUSIC). Dividing the Fresnel range into sub-intervals, the new spectral function is obtained by constructing the intersection of these noise sub-spaces. Thus, the range search is carried out in the small area instead of the whole area, which reduces the processing time. Simulation results show that the performance of the proposed algorithm is better than that of existing algorithms.

Key words: communication technology, near-field source estimation, symmetrical array structure, compressed multiple signal classification(C-MUSIC), root multiple signal classification(R-MUSIC)