A block-diagonal growth curve model
Digital Signal Processing
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Direct position determination of multiple radio signals
EURASIP Journal on Applied Signal Processing
An efficient code-timing estimator for DS-CDMA systems over resolvable multipath channels
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Robust and computationally efficient signal-dependent method for joint DOA and frequency estimation
EURASIP Journal on Advances in Signal Processing
Direct position determination in the presence of model errors---known waveforms
Digital Signal Processing
Improved MUSIC by exploiting both real and complex sources
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Direction finding for spread-spectrum systems with adaptive arrays
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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This paper presents a large sample decoupled maximum likelihood (DEML) angle estimator for uncorrelated narrowband plane waves with known waveforms and unknown amplitudes arriving at a sensor array in the presence of unknown and arbitrary spatially colored noise. The DEML estimator decouples the multidimensional problem of the exact ML estimator to a set of 1-D problems and, hence, is computationally efficient. We shall derive the asymptotic statistical performance of the DEML estimator and compare the performance with its Cramer-Rao bound (CRB), i.e., the best possible performance for the class of asymptotically unbiased estimators. We will show that the DEML estimator is asymptotically statistically efficient for uncorrelated signals with known waveforms. We will also show that for moderately correlated signals with known waveforms, the DEML estimator is no longer a large sample maximum likelihood (ML) estimator, but the DEML estimator may still be used for angle estimation, and the performance degradation relative to the CRB is small. We shall show that the DEML estimator can also be used to estimate the arrival angles of desired signals with known waveforms in the presence of interfering or jamming signals by modeling the interfering or jamming signals as random processes with an unknown spatial covariance matrix. Finally, several numerical examples showing the performance of the DEML estimator are presented in this paper