NDLI: Subspace-Based Method for Direction Finding of Multiple Partially Polarized Signals

Content Provider	IET Digital Library
Author	Shu, Ting Wang, Kun He, Jin Liu, Zhong
Abstract	We investigate the problem of direction finding for multiple Partially polarized (PP) electromagnetic signals, each of which possesses two spatial degrees of freedom. We use a uniform linear array of L sensors, where each consists of two co-located single-polarized elements. By exploiting the array geometry and its shift invariance property, we construct a set of data correlation sequences using the array output and its conjugate to transform the problem of direction finding to that of the estimation of complex sinusoid frequencies. The rank-2 signal correlation matrices of the PP signals become real-valued amplitudes of complex sinusoids, and thus, the rank-2K signal subspace of the array output transforms to the rank-K signal subspace of the constructed correlation sequences. We show that only L=K+1 sensors are needed to resolve K PP signals by solving the problem of estimation of sinusoid frequencies using subspace-based methods. The proposed method is also applicable to the scenario, where both Completely polarized (CP) and PP signals coexist, without the need of any prior information on the degree of polarization of the signal.
Starting Page	206
Ending Page	212
Page Count	7
ISSN	10224653
Volume Number	27
e-ISSN	20755597
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/27/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2017.11.011
Journal	Chinese Journal of Electronics
Publisher Date	2018-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Co-located Single-polarized Element Complex Sinusoid Frequencies Data Correlation Sequences Direction Finding Electromagnetic Wave Propagation Multiple Partially Polarized Signal PP Electromagnetic Signal Radio Direction Finding Radio Navigation And Direction Finding Rank-2K Signal SubSpace Shift Invariance Property Signal Processing Signal Processing And Detection SubSpace Based Method Uniform Linear Array
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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