Matrix analysis
3-D Unitary ESPRIT for Joint 2-D Angle and Carrier Estimation
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Subspace-based estimation of time delays and Doppler shifts
IEEE Transactions on Signal Processing
FSF MUSIC for Joint DOA and Frequency Estimation and Its Performance Analysis
IEEE Transactions on Signal Processing
Joint estimation of time delays and directions of arrival ofmultiple reflections of a known signal
IEEE Transactions on Signal Processing
Time delay and spatial signature estimation using knownasynchronous signals
IEEE Transactions on Signal Processing
Computationally efficient angle estimation for signals with knownwaveforms
IEEE Transactions on Signal Processing
Analysis of joint angle-frequency estimation using ESPRIT
IEEE Transactions on Signal Processing
Array signal Processing in the known waveform and steering vector case
IEEE Transactions on Signal Processing
Maximum likelihood DOA estimation and asymptotic Cramer-Rao boundsfor additive unknown colored noise
IEEE Transactions on Signal Processing
A multistage representation of the Wiener filter based on orthogonal projections
IEEE Transactions on Information Theory
Performance of reduced-rank linear interference suppression
IEEE Transactions on Information Theory
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The problem of joint direction of arrival (DOA) and frequency estimation is considered in this paper. A new method is proposed based on the signal-dependent multistage wiener filter (MWF). Compared with the classical subspace-based joint DOA and frequency estimators, the proposed method has two major advantages: (1) it provides a robust performance in the presence of colored noise; (2) it does not involve the estimation of covariance matrix and its eigendecomposition, and thus, yields much lower computational complexity. These advantages can potentially make the proposed method more feasible in practical applications. The conditional Cramér-Rao lower bound (CRB) on the error variance for joint DOA and frequency estimation is also derived. Both numerical and experimental results are used to demonstrate the performance of the proposed method.