A 3-D parameter joint estimation algorithm of near field sources based on MP algorithm

Authors:
Liguo Wang;Ke Wang
Affiliations:
School of Communication Engineering, Jilin University, Changchun, China and Center of Educational Technology, Beihua University, Jilin, China;School of Communication Engineering, Jilin University, Changchun, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 4
Cited 0

A new algorithm for 2-D DOA estimation

Signal Processing
High-order subspace-based algorithms for passive localization of near-field sources

ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
3-D Spherical Localization of Multiple Non-Gaussian Sources using Cumulants

SSAP '96 Proceedings of the 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '96)
Performance analysis of higher order ESPRIT for localization ofnear-field sources

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A method based on fourth-order cumulant and MP algorithm for the joint estimation of the range, elevation and azimuth of near-field sources is presented. The method adopts non-centro-symmetric cross array, the aperture loss is effectively avoided. In addition, parameter pairing information is contained in the magnitude value of the generalized eigenvalue, so there is not require the extra program to pair parameter of various parameters. The performance of the method is verified by computer simulations.