Multiple invariance ESPRIT

Abstract

A subspace-fitting formulation of the ESPRIT problem is presented that provides a framework for extending the algorithm to exploit arrays with multiple invariances. In particular, a multiple invariance (MI) ESPRIT algorithm is developed and the asymptotic distribution of the estimates is obtained. Simulations are conducted to verify the analysis and to compare the performance of MI ESPRIT with that of several other approaches. The excellent quality of the MI ESPRIT estimates is explained by recent results which state that, under certain conditions, subspace-fitting methods of this type are asymptotically efficient.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

Keywords

Subspace topologyAlgorithmApplied mathematicsMathematicsExploitComputer scienceInvariance principleMathematical optimizationArtificial intelligence

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Publication Info

Year: 1992
Type: article
Volume: 40
Issue: 4
Pages: 867-881
Citations: 243
Access: Closed

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APA Style

                            
                                
                                    A. Lee Swindlehurst, 
                                
                                    Björn Ottersten, 
                                
                                    R. Roy
                                
                                et al.
                            
                            (1992). 
                            Multiple invariance ESPRIT. 
                            IEEE Transactions on Signal Processing
                            , 40
                            (4)
                            , 867-881.
                            https://doi.org/10.1109/78.127959
                        

Identifiers

DOI: 10.1109/78.127959