This method is combined with a non-adaptive singular value decomposition (SVD) and a non-adaptive eigenvalue decomposition (EVD) to yield an adaptive virtual-ESPRIT algorithm (VESPA) for target tracking. The resulting least-mean-squared VESPA (LMS-VESPA) is of complexity O(M2P), where M is ...
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A new ESPRIT method based on virtual array in the presence of coherent signals is presented. Using the received dates and its conjugate information, we reconstructed array data matrix. To reduce the complexity of algorithm, a real signal subspace can be obtained by a unitary transformation. Using...
In this paper, we exploit the idea of virtual ESPRIT (VESPA) to develop a multi-baseline VESPA (MB-VESPA) approach for direction finding. Specially, we define several cumulant matrices to provide ambiguous direction estimates under different baselines. Fine and unambiguous estimation is then ...
Agelidis,'' Evaluation of windowed ESPRIT virtual instrument for estimating Power Quality Indices'' Electric Power Systems Research 83 (2012) 58- 65.Reza Zolfaghari, Yash Shrivastava, Vassilios G. Agelidis, et al., Evaluation of Windowed ESPRIT Virtual Instrument for Estimating Power Quality Indices,...
GMD.Report 75: Linking Real and Virtual Spaces, Second Year Report for the Esprit i3 project eRENA, Sankt Augustin 1999Strauss u. a. 1999: Wolfgang Strauss u. a., Linking between Real and Virtual Space: Second Year Report for the Esprit i3 project eRENA (= GMD - Forschungszentrum ...
Using LS-ESPRIT Algorithm to Estimate the DOA Of Coherent Source via Virtual Array Transformationcovariance matrixspatial smoothingcoherent signalvirtual array transformationConsidering that most signals exhibit coherent sources caused by multipath propagation are often encountered in a variety of wireless ...