Vector-sensor array processing for electromagnetic source localization
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 42 (2) , 376-398
- https://doi.org/10.1109/78.275610
Abstract
The authors present a new approach for localizing electromagnetic sources using sensors where the output of each is a vector consisting of the complete six electric and magnetic field components. Two types of source transmissions are considered: (1) single signal transmission (SST), and (2) dual signal transmission (DST). The model is given in terms of several parameters, including the wave direction of arrival (DOA) and state of polarization. A compact expression is derived for the Cramer-Rao bound (CRB) on the estimation errors of these parameters for the multi-source multi-vector-sensor model. Quality measures including mean-square angular error (MSAE) and covariance of vector angular error (CVAE) are introduced, and their lower bounds are derived. The advantage of using vector sensors is highlighted by explicit evaluation of the MSAE and CVAE bounds for source localization with a single vector sensor. A simple algorithm for estimating the source DOA with this sensor is presented along with its statistical performance analysisKeywords
This publication has 21 references indexed in Scilit:
- Acoustic vector sensor array processingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Concentrated Cramer-Rao bound expressionsIEEE Transactions on Information Theory, 1994
- Performance analysis of diversely polarized antenna arraysIEEE Transactions on Signal Processing, 1991
- Block Kronecker products and the vecb operatorLinear Algebra and its Applications, 1991
- MUSIC, maximum likelihood, and Cramer-Rao boundIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Polarization diversity in radarsProceedings of the IEEE, 1986
- Envelopes of narrow-band signalsProceedings of the IEEE, 1982
- Statistical EstimationPublished by Springer Nature ,1981
- Use of the three-dimensional covariance matrix in analyzing the polarization properties of plane wavesJournal of Geophysical Research, 1972
- Envelopes and pre-envelopes of real waveformsIEEE Transactions on Information Theory, 1958