Self-initiating MUSIC-based direction finding and polarization estimation in spatio-polarizational beamspace

By Kainam Thomas Wong, Michael D. Zoltowski. 2000

195 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/aa19d39ca424cf7b135e84d822f6c27153c8c6e6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Jérôme I. Mars
2. N. Le Bihan
3. Sebastian Miron
4. Linshan Li
5. Michael D. Zoltowski
6. Kainam Thomas Wong

In Signal Processing

1. Sebastian Miron
2. Jérôme I. Mars
3. N. Le Bihan
4. Linshan Li
5. Michael D. Zoltowski
6. Kainam Thomas Wong
7. Clive Cheong Took
8. Danilo P. Mandic

Citations in the corpus

• Root-MUSIC-based direction-finding and polarization estimation using diversely polarized possibly collocated antennas (2004, methodology): “2In [3], a MUSIC-based iterative algorithm determines these weights adaptively for a (possibly) irregularly spaced array of electromagnetic “vector sensors,” each of which consists of three colocated, but orthogonally oriented electrically small dipoles plus three colocated but orthogonally oriented”
• Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC (2010, background): “Multiple signal classification (MUSIC), one of the most widely used subspacebased methods, has moderate estimation performance, and it matches some kind of irregularly-spaced array [8].”
• Quaternion-MUSIC for vector-sensor array processing (2006, methodology): “MUSIC-like m thods for polarized arrays are presented in [17], [18] and ESPRIT techniques in [19], [20], [21].”