Statistical resolution limit for the multidimensional harmonic retrieval model: hypothesis test and Cramér-Rao Bound approaches

Cramér–Rao bound and statistical resolution limit investigation for near-field source localization

Digital Signal Processing ◽

10.1016/j.dsp.2015.09.019 ◽

2016 ◽

Vol 48 ◽

pp. 137-147 ◽

Cited By ~ 5

Author(s):

Tao Bao ◽

Mohammed Nabil El Korso ◽

Habiba Hafdallah Ouslimani

Keyword(s):

Source Localization ◽

Near Field ◽

Resolution Limit ◽

Field Source ◽

Cramer Rao Bound ◽

Statistical resolution limit based on Cramer-Rao bound

IET International Radar Conference 2013 ◽

10.1049/cp.2013.0384 ◽

2013 ◽

Author(s):

Dinghong Lu ◽

Yang Li ◽

Chaojie Liang

Keyword(s):

Resolution Limit ◽

Cramer Rao Bound ◽

Multigrid Based Sparse Recovery Method for Multidimensional Harmonic Retrieval

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302217 ◽

2020 ◽

Author(s):

Rifat Volkan Senyuva ◽

Emin Anarim

Keyword(s):

Sparse Recovery ◽

Recovery Method ◽

Harmonic Retrieval ◽

On constant modulus multidimensional harmonic retrieval

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5745274 ◽

2002 ◽

Cited By ~ 17

Author(s):

Xiangqian Liu ◽

Nicholas D. Sidiropoulos

Keyword(s):

Constant Modulus ◽

Harmonic Retrieval ◽

A GLRT-based framework for the Multidimensional Statistical Resolution Limit

2011 IEEE Statistical Signal Processing Workshop (SSP) ◽

10.1109/ssp.2011.5967729 ◽

2011 ◽

Cited By ~ 4

Author(s):

Mohammed Nabil El Korso ◽

Remy Boyer ◽

Alexandre Renaux ◽

Sylvie Marcos

Keyword(s):

Resolution Limit ◽

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Statistical Resolution Limit for source localization in a MIMO context

10.1109/icassp.2011.5947056 ◽

2011 ◽

Cited By ~ 1

Author(s):

Mohammed Nabil El Korso ◽

Remy Boyer ◽

Alexandre Renaux ◽

Sylvie Marcos

Keyword(s):

Source Localization ◽

Resolution Limit ◽

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) ◽

Compressive Multidimensional Harmonic Retrieval with Prior Knowledge

10.1109/icsidp47821.2019.9173121 ◽

2019 ◽

Author(s):

Yinchuan Li ◽

Xu Zhang ◽

Zegang Ding ◽

Xiaodong Wang

Keyword(s):

Prior Knowledge ◽

Harmonic Retrieval ◽

Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2008.917929 ◽

2008 ◽

Vol 56 (7) ◽

pp. 3198-3213 ◽

Cited By ~ 199

Author(s):

Martin Haardt ◽

Florian Roemer ◽

Giovanni Del Galdo

Keyword(s):

Parameter Estimation ◽

Higher Order ◽

Estimation Accuracy ◽

Harmonic Retrieval ◽

Subspace Estimation ◽

Asymptotically efficient estimators for multidimensional harmonic retrieval based on the geometry of the Stiefel manifold

2015 49th Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2015.7421437 ◽

2015 ◽

Author(s):

Thomas A. Palka ◽

Richard J. Vaccaro

Keyword(s):

Stiefel Manifold ◽

Harmonic Retrieval ◽

Multidimensional Harmonic Retrieval ◽

Asymptotically Efficient

Tensor subspace Tracking via Kronecker structured projections (TeTraKron) for time-varying multidimensional harmonic retrieval

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2014-123 ◽

2014 ◽

Vol 2014 (1) ◽

Cited By ~ 6

Author(s):

Yao Cheng ◽

Florian Roemer ◽

Olaa Khatib ◽

Martin Haardt

Keyword(s):

Time Varying ◽

Subspace Tracking ◽

Harmonic Retrieval ◽

Tensor Subspace ◽