Higher Order Direction Finding From Arrays With Diversely Polarized Antennas: The PD-2q-MUSIC Algorithms

• Published in: IEEE transactions on signal processing Vol. 55; no. 11; pp. 5337 - 5350
• Main Authors: Chevalier, P., Ferreol, A., Albera, L., Birot, G.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 2q-MUSIC; Algorithms; Antenna arrays; Applied sciences; Arrays; Asymptotic properties; Background noise; Detection, estimation, filtering, equalization, prediction; Direction finding; Direction finding (DF); direction of arrival (DOA); Directive antennas; Engineering Sciences; Exact sciences and technology; higher order; identifiability; Information, signal and communications theory; Mathematical models; Noise robustness; Palladium; Polarization; polarization diversity; Sensor arrays; Sensors; Signal and communications theory; Signal and Image processing; Signal resolution; Signal, noise; Spatial coherence; Spatial resolution; Statistics; Studies; Telecommunications and information theory; underdetermined mixtures; virtual array (VA); Performance evaluation; Polarization diversity; Direction-of-arrival estimation; Parameter estimation; High resolution; Identifiability; Direction finding (DF); virtual array (VA); higher order; Signal estimation; Radiolocalisation; Order statistic; Background noise; Algorithm; Modeling; under- determined mixtures; Gaussian noise; Spatial coherence; Gaussian signal; Robustness; 2q-MUSIC; Antenna; direction of arrival (DOA)
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2007.899367

Fourth-order (FO) and, a short while ago, 2 q th-order, q ges 2, high-resolution methods exploiting the information contained in the FO and the 2 q th-order, q ges 2, statistics of the data, respectively, are now available for direction finding of non-Gaussian signals. Among these methods, the 2 q -MUSIC methods, q ges 2, are the most popular. These methods are asymptotically robust to a Gaussian background noise whose spatial coherence is unknown and offer increasing resolution and robustness to modeling errors jointly with an increasing processing capacity as q increases. However, these methods have been mainly developed for arrays with identical sensors only and cannot put up with arrays of diversely polarized sensors in the presence of diversely polarized sources. In this context, the purpose of this paper is to introduce, for arbitrary values of q , q ges 1, three extensions of the 2 q -MUSIC method, able to put up with arrays having diversely polarized sensors for diversely polarized sources. This gives rise to the so-called polarization diversity 2 q -MUSIC (PD-2 q -MUSIC) algorithms. For a given value of q , these algorithms are shown to increase the resolution, the robustness to modeling errors, and the processing capacity of the 2 q -MUSIC method in the presence of diversely polarized sources. Besides, some PD-2 q -MUSIC algorithms are shown to offer increasing performances with q when resolution in both direction of arrival and polarization is required.