Direction-of-arrival estimation via twofold mode-projection
Signal Processing
The quaternion LMS algorithm for adaptive filtering of hypercomplex processes
IEEE Transactions on Signal Processing
Quad-quaternion music for DOA estimation using electromagnetic vector sensors
EURASIP Journal on Advances in Signal Processing
Properness and widely linear processing of quaternion random vectors
IEEE Transactions on Information Theory
Augmented second-order statistics of quaternion random signals
Signal Processing
A quaternion widely linear adaptive filter
IEEE Transactions on Signal Processing
Quaternion-valued stochastic gradient-based adaptive IIR filtering
IEEE Transactions on Signal Processing
Biquaternion cumulant-MUSIC for DOA estimation of noncircular signals
Signal Processing
Angle Estimation Using Quaternion-ESPRIT in Bistatic MIMO-Radar
Wireless Personal Communications: An International Journal
Prediction of wide-sense stationary quaternion random signals
Signal Processing
| Hi-index | 35.75 |
This paper considers the problem of direction of arrival (DOA) and polarization parameters estimation in the case of multiple polarized sources impinging on a vector-sensor array. The quaternion model is used, and a data covariance model is proposed using quaternion formalism. A comparison between long vector orthogonality and quaternion vector orthogonality is also performed, and its implications for signal subspace estimation are discussed. Consequently, a MUSIC-like algorithm is presented, allowing estimation of wave's DOAs and polarization parameters. The algorithm is tested in numerical simulations, and performance analysis is conducted. When compared with other MUSIC-like algorithms for vector-sensor array, the newly proposed algorithm results in a reduction by half of memory requirements for representation of data covariance model and reduces the computational effort, for equivalent performance. This paper also illustrates a compact and elegant way of dealing with multicomponent complex-valued data.