Efficiency of subspace-based DOA estimators
Signal Processing
Extended 2q-MUSIC algorithm for noncircular signals
Signal Processing
Adaptive IIR filtering of noncircular complex signals
IEEE Transactions on Signal Processing
Noncircularity-rate maximization: a new approach to adaptive blind beamforming
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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Multidimensional Systems and Signal Processing
Data-aided SNR estimation in time-variant Rayleigh fading channels
IEEE Transactions on Signal Processing
On the asymptotic distribution of GLR for impropriety of complex signals
Signal Processing
Biquaternion cumulant-MUSIC for DOA estimation of noncircular signals
Signal Processing
International Journal of Computing Science and Mathematics
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This paper examines the asymptotic performance of MUSIC-like algorithms for estimating directions of arrival (DOA) of narrowband complex noncircular sources. Using closed-form expressions of the covariance of the asymptotic distribution of different projection matrices, it provides a unifying framework for investigating the asymptotic performance of arbitrary subspace-based algorithms valid for Gaussian or non-Gaussian and complex circular or noncircular sources. We also derive different robustness properties from the asymptotic covariance of the estimated DOA given by such algorithms. These results are successively applied to four algorithms: to two attractive MUSIC-like algorithms previously introduced in the literature, to an extension of these algorithms, and to an optimally weighted MUSIC algorithm proposed in this paper. Numerical examples illustrate the performance of the studied algorithms compared to the asymptotically minimum variance (AMV) algorithms introduced as benchmarks