Journal ArticleDOI
Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC
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TLDR
This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein that can avoid the high computational cost within two-dimension MUSIC (2D-MUSic) algorithm.Abstract:
This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one-dimension search, can avoid the high computational cost within two-dimension MUSIC (2D-MUSIC) algorithm. We illustrate that the algorithm has better performance ESPRIT algorithm, and has very close performance to 2D-MUSIC algorithm. Further our algorithm requires no pair matching. Simulation results verify the usefulness of our algorithm.read more
Citations
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Journal ArticleDOI
Assistant Vehicle Localization Based on Three Collaborative Base Stations via SBL-Based Robust DOA Estimation
TL;DR: An assistant vehicle localization method based on direction-of-arrival (DOA) estimation based on a sparse Bayesian learning (SBL)-based robust DOA estimation approach is proposed, which shows the effectiveness and superiority of the proposed method.
Journal ArticleDOI
DOA Estimation Based on Combined Unitary ESPRIT for Coprime MIMO Radar
TL;DR: A combined unitary estimation of signal parameters via rotational invariance technique (ESPRIT)-based algorithm is proposed, which obtains more accurate DOA estimation, achieves higher angle resolution, and identifies more targets than conventional methods.
Journal ArticleDOI
Soft Information for Localization-of-Things
TL;DR: The results show that SI-based localization is highly efficient, can significantly outperform classical techniques, and provides robustness to harsh propagation conditions.
Journal ArticleDOI
Low-complexity ESPRIT-based DOA estimation for colocated MIMO radar using reduced-dimension transformation
Xue-Shun Zhang,Dazhuan Xu +1 more
TL;DR: The proposed ESPRIT-based DOA estimation for the MIMO radar using reduced-dimension transformation has very close angle estimation performance to conventional ESPrIT; also it has slightly better performance than conventional ESPRit for low SNR.
Journal ArticleDOI
Nested MIMO Radar: Coarrays, Tensor Modeling, and Angle Estimation
TL;DR: This article addresses the problem of joint direction of departure (DOD) and direction of arrival (DOA) estimation with nested bistatic multiple input multiple output (MIMO) radar using tensor decomposition using the three-way tensor model from DOD and DOA dimensions.
References
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Proceedings ArticleDOI
MIMO radar: an idea whose time has come
E. Fishler,Alexander M. Haimovich,Rick S. Blum,Dmitry Chizhik,Leonard J. Cimini,Reinaldo A. Valenzuela +5 more
TL;DR: It is shown that MIMO radar leads to significant performance improvement in DF accuracy, and is carried out in terms of the Cramer-Rao bound of the mean-square error in estimating the target direction.
Journal ArticleDOI
Spatial Diversity in Radars—Models and Detection Performance
E. Fishler,Alexander M. Haimovich,Rick S. Blum,Leonard J. Cimini,Dmitry Chizhik,Reinaldo A. Valenzuela +5 more
TL;DR: The optimal detector in the Neyman–Pearson sense is developed and analyzed for the statistical MIMO radar and it is shown that the optimal detector consists of noncoherent processing of the receiver sensors' outputs and that for cases of practical interest, detection performance is superior to that obtained through coherent processing.
Journal ArticleDOI
On Parameter Identifiability of MIMO Radar
TL;DR: It is shown that the maximum number of targets that can be uniquely identified by the MIMO radar is up to Mt times that of its phased-array counterpart, where Mt is the number of transmit antennas.
Journal ArticleDOI
Angle estimation using ESPRIT in MIMO radar
TL;DR: It is shown that ESPRIT exploits the invariance property of both the transmit array and the receive array in a bistatic MIMO radar to estimate the target's direction.
Journal ArticleDOI
Target detection and parameter estimation for MIMO radar systems
Luzhou Xu,Jian Li,Petre Stoica +2 more
TL;DR: The proposed CAML method can provide excellent estimation accuracy of both target locations and target amplitudes and is applied to the MIMO radar system to achieve accurate parameter estimation and superior interference and jamming suppression performance.